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NICE 2024 - Agenda

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Tuesday, 23 April 2024
PDT: 08:00
AEST: Wed, 24 Apr 01:00
ACST: Wed, 24 Apr 00:30
ACST: Wed, 24 Apr 00:30
AWST: 23:00
NICE 2024-- day 1

NICE 2024

Registration

For registration, please see the registration options and link to the registration form.

Venue

show a map with the two venues and the hotels.
PDT: 08:00
AEST: Wed, 24 Apr 01:00
ACST: Wed, 24 Apr 00:30
ACST: Wed, 24 Apr 00:30
AWST: 23:00

NICE 2024 agenda

Times listed are Pacific Daylight Time (PDT).

It is also possible to show the agenda with other time zones listed, which are relevant for: Africa, America, Australia, China, Europe, India, Japan

PDT: 08:00‑08:30
AEST: Wed, 24 Apr 01:00‑01:30
ACST: Wed, 24 Apr 00:30‑01:00
ACST: Wed, 24 Apr 00:30‑01:00
AWST: 23:00‑23:30
(30 min)		 Registration and breakfast
PDT: 08:30‑08:45
AEST: Wed, 24 Apr 01:30‑01:45
ACST: Wed, 24 Apr 01:00‑01:15
ACST: Wed, 24 Apr 01:00‑01:15
AWST: 23:30‑23:45
(15+5 min)		Welcome and opening

.ics

Gert Cauwenberghs, Duygu Kuzum, Tajana Rosing (Institute for Neural Computation and Jacobs School of Engineering, UC San Diego)
Miroslav Krstić (Associate Vice Chancellor for Research, UC San Diego)
PDT: 08:50‑09:35
AEST: Wed, 24 Apr 01:50‑02:35
ACST: Wed, 24 Apr 01:20‑02:05
ACST: Wed, 24 Apr 01:20‑02:05
AWST: 23:50‑00:35
(45+5 min)		Organisers round

.ics

Members of the organising committees
PDT: 09:40‑10:25
AEST: Wed, 24 Apr 02:40‑03:25
ACST: Wed, 24 Apr 02:10‑02:55
ACST: Wed, 24 Apr 02:10‑02:55
AWST: Wed, 24 Apr 00:40‑01:25
(45+5 min)		Keynote: Brains and AI
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.ics

Terry Sejnowski (Salk Institute for Biological Studies)
PDT: 10:30‑11:00
AEST: Wed, 24 Apr 03:30‑04:00
ACST: Wed, 24 Apr 03:00‑03:30
ACST: Wed, 24 Apr 03:00‑03:30
AWST: Wed, 24 Apr 01:30‑02:00
(30 min)		Break
PDT: 11:00‑11:25
AEST: Wed, 24 Apr 04:00‑04:25
ACST: Wed, 24 Apr 03:30‑03:55
ACST: Wed, 24 Apr 03:30‑03:55
AWST: Wed, 24 Apr 02:00‑02:25
(25+5 min)		Biological Dynamics Enabling Training of Binary Recurrent Networks
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Publication DOI: 10.1109/NICE61972.2024.10549632

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.ics

William Chapman (Sandia National Laboratories)
PDT: 11:30‑11:40
AEST: Wed, 24 Apr 04:30‑04:40
ACST: Wed, 24 Apr 04:00‑04:10
ACST: Wed, 24 Apr 04:00‑04:10
AWST: Wed, 24 Apr 02:30‑02:40
(10+5 min)		Towards Convergence Intelligence – neuromorphic engineering and engineered organoids for neurotechnology
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.ics

Dr. Grace Hwang (Program Director, National Institutes of Health (NIH)/National Institute of Neurological Disorders and Stroke (NINDS)/ U.S. BRAIN Initiative)
PDT: 11:45‑12:10
AEST: Wed, 24 Apr 04:45‑05:10
ACST: Wed, 24 Apr 04:15‑04:40
ACST: Wed, 24 Apr 04:15‑04:40
AWST: Wed, 24 Apr 02:45‑03:10
(25+5 min)		Invited talk: Learning algorithms for spiking and physical neural networks
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.ics

 Friedemann Zenke (Friedrich Miescher Institute for Biomedical Research & University of Basel)
PDT: 12:15‑12:30
AEST: Wed, 24 Apr 05:15‑05:30
ACST: Wed, 24 Apr 04:45‑05:00
ACST: Wed, 24 Apr 04:45‑05:00
AWST: Wed, 24 Apr 03:15‑03:30
(15 min)		Poster teasers

1-min "this is my poster content" teasers

  • Shelah O. Ameli
  • Alaaddin Goktug Ayar
  • Kanha Batra/ Jiaqi Zhang
  • Younes Bouhadjar
  • Mario De Florio and Adar Kahana
  • Michael Furlong
  • David Mascarenas
  • Sonia Mazelet
  • Roy Moyal
  • Shaan Shah
  • Simon Thorpe and Aditya Kar
  • Zoran Utkovski
  • Margot Wagner and Kameron Gano
  • Jason Yik

.ics
PDT: 12:30‑14:00
AEST: Wed, 24 Apr 05:30‑07:00
ACST: Wed, 24 Apr 05:00‑06:30
ACST: Wed, 24 Apr 05:00‑06:30
AWST: Wed, 24 Apr 03:30‑05:00
(90 min)		Poster-lunch (posters + finger food)



Maximum possible poster size: landscape, 48 inch x 70 inch.

Posters

  • Shelah O. Ameli: Leveraging Programmable Plasticity on Neuromorphic Hardware
  • Roy Moyal: A Neuromorphic Algorithm for Dynamic Contrast Optimization
  • David Mascarenas: Beating 2 Sides of the Exposure Triangle in Post Processing with Neuromorphic Imager Arrays
  • Mario De Florio and Adar Kahana: Analysis of biologically plausible neuron models for regression with spiking neural networks
  • Zoran Utkovski: Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
  • Michael Furlong: Sparse fractional power encoding for fixed-point neuromorphic hardware.
  • Shaan Shah: Implementation of Matrix Vector Multiplication Operations Using Hydrogenated Perovskite Nickelate Synaptic Networks
  • Margot Wagner and Kameron Gano: Stochastic Markov Diffusion using Eigenmode Decomposition for Scalable Neuromorphic Synapses
  • Younes Bouhadjar: Exploring methods for training Spiking Neural Networks for optimal accuracy and efficiency
  • Simon Thorpe and Aditya Kar: The Terabrain Project: Simulating billions of spiking neurons on standard computer hardware (Poster and Demo)

Talk-Posters

  • William Chapman: "Biological Dynamics Enabling Training of Binary Recurrent Networks"
  • Alaaddin Goktug Ayar: "Brain-Inspired Hypervector Processing at the Edge of Large Language Models"
  • Jason Yik: NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
  • Kanha Batra/ Jiaqi Zhang: "Neuromodulated Mixture of Experts: A prefrontal cortex inspired architecture for lifelong learning"
  • Sonia Mazelet: "Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks"
PDT: 14:00‑14:25
AEST: Wed, 24 Apr 07:00‑07:25
ACST: Wed, 24 Apr 06:30‑06:55
ACST: Wed, 24 Apr 06:30‑06:55
AWST: Wed, 24 Apr 05:00‑05:25
(25+5 min)		SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks
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Publication DOI: 10.1109/NICE61972.2024.10549198

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.ics

 Sreyes Venkatesh (UC Santa Cruz)
PDT: 14:30‑14:40
AEST: Wed, 24 Apr 07:30‑07:40
ACST: Wed, 24 Apr 07:00‑07:10
ACST: Wed, 24 Apr 07:00‑07:10
AWST: Wed, 24 Apr 05:30‑05:40
(10+5 min)		Expressive Dendrites in Spiking Networks
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Publication DOI: 10.1109/NICE61972.2024.10548485

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.ics

Mark Plagge (Sandia National Laboratories)
PDT: 14:45‑15:10
AEST: Wed, 24 Apr 07:45‑08:10
ACST: Wed, 24 Apr 07:15‑07:40
ACST: Wed, 24 Apr 07:15‑07:40
AWST: Wed, 24 Apr 05:45‑06:10
(25+5 min)		Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input
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video (restricted access)
Publication DOI: 10.1109/NICE61972.2024.10549580

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.ics

 Shih-Chii Liu (Institute of Neuroinformatics, University of Zurich and ETH Zurich)
PDT: 15:15‑15:45
AEST: Wed, 24 Apr 08:15‑08:45
ACST: Wed, 24 Apr 07:45‑08:15
ACST: Wed, 24 Apr 07:45‑08:15
AWST: Wed, 24 Apr 06:15‑06:45
(30 min)		Break
PDT: 15:45‑16:10
AEST: Wed, 24 Apr 08:45‑09:10
ACST: Wed, 24 Apr 08:15‑08:40
ACST: Wed, 24 Apr 08:15‑08:40
AWST: Wed, 24 Apr 06:45‑07:10
(25+5 min)		Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for Control
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Publication DOI: 10.1109/NICE61972.2024.10548512

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.ics

Katie Schuman (University of Tennessee)
PDT: 16:15‑17:00
AEST: Wed, 24 Apr 09:15‑10:00
ACST: Wed, 24 Apr 08:45‑09:30
ACST: Wed, 24 Apr 08:45‑09:30
AWST: Wed, 24 Apr 07:15‑08:00
(45 min)		Open mic / discussion -- day I speakers

.ics
PDT: 17:00‑17:30
AEST: Wed, 24 Apr 10:00‑10:30
ACST: Wed, 24 Apr 09:30‑10:00
ACST: Wed, 24 Apr 09:30‑10:00
AWST: Wed, 24 Apr 08:00‑08:30
(30 min)		Misha Mahowald Prizes
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  • 2023 Misha Mahowald Prize:
    James Bradley Aimone, Brian C. Franke, Richard B. Lehoucq, Michael C. Krygier, Aaron J. Hill, Ojas Parekh, Leah E. Reeder, William Severa, and J. Darby Smith, Sandia National Laboratory

.ics

 Tobi Delbruck (Inst. for Neuroinformatics, UZH-ETH Zurich)
PDT: 17:30‑18:00
AEST: Wed, 24 Apr 10:30‑11:00
ACST: Wed, 24 Apr 10:00‑10:30
ACST: Wed, 24 Apr 10:00‑10:30
AWST: Wed, 24 Apr 08:30‑09:00
(30 min)		Misha Mahowald Prizes
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  • Misha Mahowald Recognition of Lifetime Contribution to Neuromorphic Engineering:
    Carver Mead, Gordon and Betty Moore Professor Emeritus of Engineering and Applied Science at the California Institute of Technology

.ics

Carver Mead (California Institute of Technology)
PDT: 18:00‑19:00
AEST: Wed, 24 Apr 11:00‑12:00
ACST: Wed, 24 Apr 10:30‑11:30
ACST: Wed, 24 Apr 10:30‑11:30
AWST: Wed, 24 Apr 09:00‑10:00
(60 min)		Reception and celebration of 35+ years of neuromorphic engineering

Wednesday, 24 April 2024
PDT: 08:00
AEST: Thu, 25 Apr 01:00
ACST: Thu, 25 Apr 00:30
ACST: Thu, 25 Apr 00:30
AWST: 23:00
NICE 2024 - Day II
PDT: 08:00‑08:30
AEST: Thu, 25 Apr 01:00‑01:30
ACST: Thu, 25 Apr 00:30‑01:00
ACST: Thu, 25 Apr 00:30‑01:00
AWST: 23:00‑23:30
(30 min)		Breakfast
PDT: 08:30‑09:15
AEST: Thu, 25 Apr 01:30‑02:15
ACST: Thu, 25 Apr 01:00‑01:45
ACST: Thu, 25 Apr 01:00‑01:45
AWST: 23:30‑00:15
(45+5 min)		Keynote: Hearing with Silicon Cochleas

.ics

 Shih-Chii Liu (Institute of Neuroinformatics, University of Zurich and ETH Zurich)
PDT: 09:20‑09:30
AEST: Thu, 25 Apr 02:20‑02:30
ACST: Thu, 25 Apr 01:50‑02:00
ACST: Thu, 25 Apr 01:50‑02:00
AWST: Thu, 25 Apr 00:20‑00:30
(10+5 min)		Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning
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Publication DOI: 10.1109/NICE61972.2024.10549689

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.ics

Shruti R Kulkarni (Oak Ridge National Laboratory)
PDT: 09:35‑10:00
AEST: Thu, 25 Apr 02:35‑03:00
ACST: Thu, 25 Apr 02:05‑02:30
ACST: Thu, 25 Apr 02:05‑02:30
AWST: Thu, 25 Apr 00:35‑01:00
(25+5 min)		Invited talk: Hardware Accelerators for Brain-Inspired Computing
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.ics

John Arthur (IBM Research)
PDT: 10:05‑10:30
AEST: Thu, 25 Apr 03:05‑03:30
ACST: Thu, 25 Apr 02:35‑03:00
ACST: Thu, 25 Apr 02:35‑03:00
AWST: Thu, 25 Apr 01:05‑01:30
(25+5 min)		Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture
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Publication DOI: 10.1109/NICE61972.2024.10548824

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.ics

Karthik Charan Raghunathan (Institute of Neuroinformatics, ETH and UZH Zurich)
PDT: 10:35‑11:05
AEST: Thu, 25 Apr 03:35‑04:05
ACST: Thu, 25 Apr 03:05‑03:35
ACST: Thu, 25 Apr 03:05‑03:35
AWST: Thu, 25 Apr 01:35‑02:05
(30 min)		Break
PDT: 11:05‑11:30
AEST: Thu, 25 Apr 04:05‑04:30
ACST: Thu, 25 Apr 03:35‑04:00
ACST: Thu, 25 Apr 03:35‑04:00
AWST: Thu, 25 Apr 02:05‑02:30
(25+5 min)		Spiking Physics-Informed Neural Networks on Loihi-2
Publication DOI: 10.1109/NICE61972.2024.10548180

.ics

Brad Theilman (Sandia National Laboratories)
PDT: 11:35‑11:45
AEST: Thu, 25 Apr 04:35‑04:45
ACST: Thu, 25 Apr 04:05‑04:15
ACST: Thu, 25 Apr 04:05‑04:15
AWST: Thu, 25 Apr 02:35‑02:45
(10+5 min)		jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
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Publication DOI: 10.1109/NICE61972.2024.10548709

Talk video on YouTube

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.ics

Eric Müller (BrainScaleS, Heidelberg University)
PDT: 11:50‑12:00
AEST: Thu, 25 Apr 04:50‑05:00
ACST: Thu, 25 Apr 04:20‑04:30
ACST: Thu, 25 Apr 04:20‑04:30
AWST: Thu, 25 Apr 02:50‑03:00
(10+5 min)		Late-breaking-news: Distributed Neural State Machines on Loihi 2
show presentation.pdf (public accessible)

show abstract

.ics

Alpha Renner (Forschungszentrum Jülich, Germany)
PDT: 12:05‑12:20
AEST: Thu, 25 Apr 05:05‑05:20
ACST: Thu, 25 Apr 04:35‑04:50
ACST: Thu, 25 Apr 04:35‑04:50
AWST: Thu, 25 Apr 03:05‑03:20
(15 min)		Poster teasers 1-min "this is my poster content" teasers
  • Patrick Abbs
  • Sai Sukruth Bezugam
  • Gwenevere Frank
  • Alessandro Galloni
  • Min Suk Lee and Abhinav Uppal
  • Srideep Musuvathy
  • Lars Niedermeier:
  • Joey Randich
  • Nancy Ronquillo
  • Yusuke Sakemi:
  • Bernard Vogginger
  • Felix Wang
  • Katy Warr
  • Yucheng Zhou

.ics
PDT: 12:20‑12:30
AEST: Thu, 25 Apr 05:20‑05:30
ACST: Thu, 25 Apr 04:50‑05:00
ACST: Thu, 25 Apr 04:50‑05:00
AWST: Thu, 25 Apr 03:20‑03:30
(10 min)		Group photo

.ics
PDT: 12:30‑14:00
AEST: Thu, 25 Apr 05:30‑07:00
ACST: Thu, 25 Apr 05:00‑06:30
ACST: Thu, 25 Apr 05:00‑06:30
AWST: Thu, 25 Apr 03:30‑05:00
(90 min)		Poster-lunch (posters + finger food)



Maximum possible poster size: landscape, 48 inch x 70 inch.

Posters

  • Bernard Vogginger: Neuromorphic hardware for sustainable AI data centers
  • Gwenevere Frank: HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
  • Alessandro Galloni: Neuroscience-inspired one-shot learning in VO2-based analog hardware
  • Lars Niedermeier: An Integrated Toolbox for Creating Neuromorphic Edge Applications
  • Srideep Musuvathy: A Spiking Neural Algorithm for Markov RewardProcesses
  • Joey Randich: Leaky Integrate-and-Fire Neuron as an Analog-to-Digital Converter
  • Nancy Ronquillo: Exploiting Cognitive State EEG Datasets with Transfer Learning
  • Katy Warr: Optimising Sparse Associative Memory with Neurogenesis for Accuracy and Deployment
  • Yucheng Zhou: Understanding Conduction Mechanism of Filament-free Bulk RRAM for Neuromorphic Computing Applications
  • Min Suk Lee and Abhinav Uppal: In-Ear Physiology for Brain-Body Health Monitoring (Poster and Live Demo)
  • Yusuke Sakemi: Learning upon Drain-Voltage Dependence of Synaptic Currents in In-Memory Computing: A Circuit Simulation Study Using Open PDK

Talk-Posters

  • Alpha Renner: "Neuromorphic Hyperdimensional Computing"
  • Patrick Abbs: "One-Shot Auditory Blind Source Separation via Local Learning in a Neuromorphic Network"
  • Sai Sukruth Bezugam: "Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm"
  • Felix Wang: "STACS: "Simulation Tool for Asynchronous Cortical Streams"
  • Shruti R. Kulkarni: "Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning"

PDT: 14:00‑14:10
AEST: Thu, 25 Apr 07:00‑07:10
ACST: Thu, 25 Apr 06:30‑06:40
ACST: Thu, 25 Apr 06:30‑06:40
AWST: Thu, 25 Apr 05:00‑05:10
(10+5 min)		Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm
show presentation.pdf (public accessible)
show talk video
Publication DOI: 10.1109/NICE61972.2024.10548306

show abstract

.ics

Sai Sukruth Bezugam (Department of Electrical and Computer Engineering, University of California Santa Barbara)
PDT: 14:15‑14:40
AEST: Thu, 25 Apr 07:15‑07:40
ACST: Thu, 25 Apr 06:45‑07:10
ACST: Thu, 25 Apr 06:45‑07:10
AWST: Thu, 25 Apr 05:15‑05:40
(25+5 min)		Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
show presentation.pdf (public accessible)
show talk video
Publication DOI: 10.1109/NICE61972.2024.10549719

show abstract

.ics

Chris Kymn (UC Berkeley), Sonia Mazelet (UC Berkeley)
PDT: 14:45‑14:55
AEST: Thu, 25 Apr 07:45‑07:55
ACST: Thu, 25 Apr 07:15‑07:25
ACST: Thu, 25 Apr 07:15‑07:25
AWST: Thu, 25 Apr 05:45‑05:55
(10+5 min)		Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
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Publication DOI: 10.1109/NICE61972.2024.10548355

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.ics

Ali Safa (imec and KU Leuven)
PDT: 15:00‑15:10
AEST: Thu, 25 Apr 08:00‑08:10
ACST: Thu, 25 Apr 07:30‑07:40
ACST: Thu, 25 Apr 07:30‑07:40
AWST: Thu, 25 Apr 06:00‑06:10
(10+5 min)		Leveraging Sparsity of SRNNs for Reconfigurable and Resource-Efficient Network-on-Chip
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Publication DOI: 10.1109/NICE61972.2024.10548940

show abstract

.ics

Manu Rathore (TENNLab - Neuromorphic Architectures, Learning, Applications (The University of Tennessee, Knoxville))
PDT: 15:15‑15:45
AEST: Thu, 25 Apr 08:15‑08:45
ACST: Thu, 25 Apr 07:45‑08:15
ACST: Thu, 25 Apr 07:45‑08:15
AWST: Thu, 25 Apr 06:15‑06:45
(30 min)		Break
PDT: 15:45‑16:10
AEST: Thu, 25 Apr 08:45‑09:10
ACST: Thu, 25 Apr 08:15‑08:40
ACST: Thu, 25 Apr 08:15‑08:40
AWST: Thu, 25 Apr 06:45‑07:10
(25+5 min)		Invited talk: Towards fractional order dynamics neuromorphic elements
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.ics

Fidel Santamaria (Department of Neuroscience, Developmental and Regenerative Biology, University of Texas at San Antonio)
PDT: 16:15‑16:25
AEST: Thu, 25 Apr 09:15‑09:25
ACST: Thu, 25 Apr 08:45‑08:55
ACST: Thu, 25 Apr 08:45‑08:55
AWST: Thu, 25 Apr 07:15‑07:25
(10+5 min)		Compute-in-Memory with 6T-RRAM Memristive Circuit for Next-Gen Neuromorphic Hardware
Publication DOI: 10.1109/NICE61972.2024.10548860

show abstract

.ics

Kang Jun Bai (Air Force Research Laboratory)
PDT: 16:30‑17:30
AEST: Thu, 25 Apr 09:30‑10:30
ACST: Thu, 25 Apr 09:00‑10:00
ACST: Thu, 25 Apr 09:00‑10:00
AWST: Thu, 25 Apr 07:30‑08:30
(60 min)		Open mic / discussion - day II speakers

.ics
PDT: 17:30
AEST: Thu, 25 Apr 10:30
ACST: Thu, 25 Apr 10:00
ACST: Thu, 25 Apr 10:00
AWST: Thu, 25 Apr 08:30
End of the second day

Thursday, 25 April 2024
PDT: 08:00
AEST: Fri, 26 Apr 01:00
ACST: Fri, 26 Apr 00:30
ACST: Fri, 26 Apr 00:30
AWST: 23:00
Day III
PDT: 08:00‑08:30
AEST: Fri, 26 Apr 01:00‑01:30
ACST: Fri, 26 Apr 00:30‑01:00
ACST: Fri, 26 Apr 00:30‑01:00
AWST: 23:00‑23:30
(30 min)		Breakfast
PDT: 08:30‑09:15
AEST: Fri, 26 Apr 01:30‑02:15
ACST: Fri, 26 Apr 01:00‑01:45
ACST: Fri, 26 Apr 01:00‑01:45
AWST: 23:30‑00:15
(45+5 min)		Keynote: NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
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show talk video

show abstract

.ics

Jason Yik (School of Engineering and Applied Sciences, Harvard)
PDT: 09:20
AEST: Fri, 26 Apr 02:20
ACST: Fri, 26 Apr 01:50
ACST: Fri, 26 Apr 01:50
AWST: Fri, 26 Apr 00:20
IEEE EMBS Forum on Intelligent Healthcare

PDT: 09:20‑09:25
AEST: Fri, 26 Apr 02:20‑02:25
ACST: Fri, 26 Apr 01:50‑01:55
ACST: Fri, 26 Apr 01:50‑01:55
AWST: Fri, 26 Apr 00:20‑00:25
(5 min)		 Introduction to the IEEE EMBS Forum on Intelligent Healthcare
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.ics

Gert Cauwenberghs (UC San Diego)
PDT: 09:25‑09:35
AEST: Fri, 26 Apr 02:25‑02:35
ACST: Fri, 26 Apr 01:55‑02:05
ACST: Fri, 26 Apr 01:55‑02:05
AWST: Fri, 26 Apr 00:25‑00:35
(10 min)		 AI for healthcare
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.ics

 Margot Wagner (Salk Institute)
PDT: 09:35‑09:45
AEST: Fri, 26 Apr 02:35‑02:45
ACST: Fri, 26 Apr 02:05‑02:15
ACST: Fri, 26 Apr 02:05‑02:15
AWST: Fri, 26 Apr 00:35‑00:45
(10 min)		 Boxes are pre-digital -- Discovering physiological diversity with AI
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.ics

 Benjamin Smarr (UC San Diego)
PDT: 09:45‑09:55
AEST: Fri, 26 Apr 02:45‑02:55
ACST: Fri, 26 Apr 02:15‑02:25
ACST: Fri, 26 Apr 02:15‑02:25
AWST: Fri, 26 Apr 00:45‑00:55
(10 min)		 Organoid intelligence
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.ics

 Francesca Puppo (UC San Diego)
PDT: 09:55‑10:05
AEST: Fri, 26 Apr 02:55‑03:05
ACST: Fri, 26 Apr 02:25‑02:35
ACST: Fri, 26 Apr 02:25‑02:35
AWST: Fri, 26 Apr 00:55‑01:05
(10 min)		 Health & AI: Flexible Engineered Learning Systems
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.ics

Dr. Grace Hwang (NIH / NINDS)
PDT: 10:05‑10:15
AEST: Fri, 26 Apr 03:05‑03:15
ACST: Fri, 26 Apr 02:35‑02:45
ACST: Fri, 26 Apr 02:35‑02:45
AWST: Fri, 26 Apr 01:05‑01:15
(10 min)		 EMBS Strategic Plan: from Vision to Implementation
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.ics

 Metin Akay (IEEE EMBS)
PDT: 10:20‑10:50
AEST: Fri, 26 Apr 03:20‑03:50
ACST: Fri, 26 Apr 02:50‑03:20
ACST: Fri, 26 Apr 02:50‑03:20
AWST: Fri, 26 Apr 01:20‑01:50
(30 min)		Break
PDT: 10:50‑11:00
AEST: Fri, 26 Apr 03:50‑04:00
ACST: Fri, 26 Apr 03:20‑03:30
ACST: Fri, 26 Apr 03:20‑03:30
AWST: Fri, 26 Apr 01:50‑02:00
(10+5 min)		One-Shot Auditory Blind Source Separation via Local Learning in a Neuromorphic Network
show talk video

show abstract

.ics

Patrick Abbs (Cambrya, LLC)
PDT: 11:05‑11:30
AEST: Fri, 26 Apr 04:05‑04:30
ACST: Fri, 26 Apr 03:35‑04:00
ACST: Fri, 26 Apr 03:35‑04:00
AWST: Fri, 26 Apr 02:05‑02:30
(25+5 min)		Invited talk: TENN: A highly efficient transformer replacement for edge and event processing.
show presentation.pdf (public accessible)

.ics

 M Anthony Lewis (BrainChip)
PDT: 11:35‑11:45
AEST: Fri, 26 Apr 04:35‑04:45
ACST: Fri, 26 Apr 04:05‑04:15
ACST: Fri, 26 Apr 04:05‑04:15
AWST: Fri, 26 Apr 02:35‑02:45
(10+5 min)		A Recurrent Dynamic Model for Efficient Bayesian Optimization
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Publication DOI: 10.1109/NICE61972.2024.10548051

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.ics

P. Michael Furlong (Centre for Theoretical Neuroscience/Systems Design Engineering, University of Waterloo)
PDT: 11:50‑12:15
AEST: Fri, 26 Apr 04:50‑05:15
ACST: Fri, 26 Apr 04:20‑04:45
ACST: Fri, 26 Apr 04:20‑04:45
AWST: Fri, 26 Apr 02:50‑03:15
(25+5 min)		Invited talk: Strategic & Large-Scale Considerations of Neuromorphic Computing
show presentation.pdf (public accessible)
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.ics

Craig Vineyard (Sandia National Laboratory)
PDT: 12:20‑12:30
AEST: Fri, 26 Apr 05:20‑05:30
ACST: Fri, 26 Apr 04:50‑05:00
ACST: Fri, 26 Apr 04:50‑05:00
AWST: Fri, 26 Apr 03:20‑03:30
(10+5 min)		GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures
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show talk video
Publication DOI: 10.1109/NICE61972.2024.10548776

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.ics

Joshua Mack (Department of Electrical & Computer Engineering, University of Arizona)
PDT: 12:35‑13:35
AEST: Fri, 26 Apr 05:35‑06:35
ACST: Fri, 26 Apr 05:05‑06:05
ACST: Fri, 26 Apr 05:05‑06:05
AWST: Fri, 26 Apr 03:35‑04:35
(60 min)		Lunch
PDT: 13:35‑13:45
AEST: Fri, 26 Apr 06:35‑06:45
ACST: Fri, 26 Apr 06:05‑06:15
ACST: Fri, 26 Apr 06:05‑06:15
AWST: Fri, 26 Apr 04:35‑04:45
(10+5 min)		Late-breaking-news: Neuromodulated mixture of experts: A prefrontal cortex inspired architecture for lifelong learning
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.ics

Clara N Yi (Salk Institute for Biological Studies)
PDT: 13:50‑14:15
AEST: Fri, 26 Apr 06:50‑07:15
ACST: Fri, 26 Apr 06:20‑06:45
ACST: Fri, 26 Apr 06:20‑06:45
AWST: Fri, 26 Apr 04:50‑05:15
(25+5 min)		Energy Efficient Implementation of MVM Operations Using Filament-free Bulk RRAM Arrays
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show talk video
Publication DOI: 10.1109/NICE61972.2024.10549369

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.ics

Dr. Ashwani Kumar (Electrical and Computer Engineering, UC San Diego)
PDT: 14:20‑14:30
AEST: Fri, 26 Apr 07:20‑07:30
ACST: Fri, 26 Apr 06:50‑07:00
ACST: Fri, 26 Apr 06:50‑07:00
AWST: Fri, 26 Apr 05:20‑05:30
(10+5 min)		TickTockTokens: a minimal building block for event-driven systems
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show talk video
Publication DOI: 10.1109/NICE61972.2024.10549408

.ics

Johannes Leugering (Institute for Neural Computation, Bioengineering Dept., UC San Diego)
PDT: 14:35‑14:45
AEST: Fri, 26 Apr 07:35‑07:45
ACST: Fri, 26 Apr 07:05‑07:15
ACST: Fri, 26 Apr 07:05‑07:15
AWST: Fri, 26 Apr 05:35‑05:45
(10+5 min)		Late-breaking-news: Brain-Inspired Hypervector Processing at the Edge of Large Language Models
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.ics

Goktug Ayar (University of Louisiana at Lafayette)
PDT: 14:50‑15:00
AEST: Fri, 26 Apr 07:50‑08:00
ACST: Fri, 26 Apr 07:20‑07:30
ACST: Fri, 26 Apr 07:20‑07:30
AWST: Fri, 26 Apr 05:50‑06:00
(10+5 min)		Spiking Neural Network-based Flight Controller
show presentation.pdf (public accessible)
show talk video
Publication DOI: 10.1109/NICE61972.2024.10548609

show abstract

.ics

Diego Chavez Arana (New Mexico State University)
PDT: 15:05‑15:35
AEST: Fri, 26 Apr 08:05‑08:35
ACST: Fri, 26 Apr 07:35‑08:05
ACST: Fri, 26 Apr 07:35‑08:05
AWST: Fri, 26 Apr 06:05‑06:35
(30 min)		Coffee break
PDT: 15:35‑16:00
AEST: Fri, 26 Apr 08:35‑09:00
ACST: Fri, 26 Apr 08:05‑08:30
ACST: Fri, 26 Apr 08:05‑08:30
AWST: Fri, 26 Apr 06:35‑07:00
(25+5 min)		PETNet– Coincident Particle Event Detection using Spiking Neural Networks
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Publication DOI: 10.1109/NICE61972.2024.10549584

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.ics

Jan Debus (ETH Zurich)
PDT: 16:05‑16:15
AEST: Fri, 26 Apr 09:05‑09:15
ACST: Fri, 26 Apr 08:35‑08:45
ACST: Fri, 26 Apr 08:35‑08:45
AWST: Fri, 26 Apr 07:05‑07:15
(10+5 min)		NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors
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Publication DOI: 10.1109/NICE61972.2024.10548603

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.ics

Harideep Nair (Carnegie Mellon University.)
PDT: 16:20‑17:20
AEST: Fri, 26 Apr 09:20‑10:20
ACST: Fri, 26 Apr 08:50‑09:50
ACST: Fri, 26 Apr 08:50‑09:50
AWST: Fri, 26 Apr 07:20‑08:20
(60 min)		Open mic / discussion - day III speakers

.ics
PDT: 17:20‑17:30
AEST: Fri, 26 Apr 10:20‑10:30
ACST: Fri, 26 Apr 09:50‑10:00
ACST: Fri, 26 Apr 09:50‑10:00
AWST: Fri, 26 Apr 08:20‑08:30
(10 min)		Final words -- invitation to NICE 2025

.ics
PDT: 17:30
AEST: Fri, 26 Apr 10:30
ACST: Fri, 26 Apr 10:00
ACST: Fri, 26 Apr 10:00
AWST: Fri, 26 Apr 08:30
End of day 3 and of the talk-days of NICE 2024

Friday, 26 April 2024
PDT: 08:30
AEST: Sat, 27 Apr 01:30
ACST: Sat, 27 Apr 01:00
ACST: Sat, 27 Apr 01:00
AWST: 23:30
Tutorial day

Venue

The tutorial day takes place at the San Diego Supercomputer Center SDSC (SDSC visitor information page)

There is no reserved parking available for the Friday tutorial.

  • Visitor Parking (needs to be paid) is available at the Hopkins Parking Structure (UC San Diego, Supercomputer Center - Hopkins Parking Structure, 10100 Hopkins Dr, La Jolla San Diego, CA 92093) https://g.co/kgs/bLBwWfB
  • Visitor Parking Information: https://transportation.ucsd.edu/visit/visitor/index.html
  • There is free parking, based on availability at the Torrey Pines Gliderport. There may be parking either on the street, or more likely in the dirt parking lot. It is a 20 - 30-minute walk to the San Diego Supercomputer Center based on your individual speed: https://g.co/kgs/Ps7VFX8

Tutorials are in three different rooms, all located at San Diego Supercomputer Center, East Expansion; Level B1

  • INC central foyer
  • Synthesis Center
  • INC conference room

Tutorials

These 9 tutorial suggestions have been selected.

  • Hands-on tutorial: BrainScaleS neuromorphic compute system (via the EBRAINS Research Infrastructure )
  • An Introduction to Design and Simulation using SNS-Toolbox and SNSTorch
  • Simulation Tool for Asynchronous Cortical Streams (STACS)
  • N2A – neural programming language and workbench
  • SANA-FE: Simulating Advanced Neuromorphic Architectures for Fast Exploration
  • An Integrated Toolbox for Creating Neuromorphic Edge Applications
  • CrossSim: A Hardware/Software Co-Design Tool for Analog In-Memory Computing
  • Neuromorphic Intermediate Representation
  • Building Scalable, Composable Spiking Neural Algorithms with Fugu (An Introduction)
PDT: 08:30‑10:30
AEST: Sat, 27 Apr 01:30‑03:30
ACST: Sat, 27 Apr 01:00‑03:00
ACST: Sat, 27 Apr 01:00‑03:00
AWST: 23:30‑01:30
(120 min)		Tutorial slot I

Three tutorials in parallel

show abstract

Hands-on tutorial: BrainScaleS neuromorphic compute system An Integrated Toolbox for Creating Neuromorphic Edge ApplicationsSimulation Tool for Asynchronous Cortical Streams (STACS)
Eric Müller (Heidelberg University)

Room: INC central foyer

(via the EBRAINS Research Infrastructure. Please ideally create your EBRAINS account before the tutorial)

Tutorial abstract

 Lars Niedermeier (Niedermeier Consulting), Jeff Krichmar (UC Irvine)

Room: Synthesis Center

Tutorial abstract

Felix Wang (Sandia National Laboratories)

Room: INC conference room

Tutorial abstract

.ics
PDT: 10:30‑11:00
AEST: Sat, 27 Apr 03:30‑04:00
ACST: Sat, 27 Apr 03:00‑03:30
ACST: Sat, 27 Apr 03:00‑03:30
AWST: Sat, 27 Apr 01:30‑02:00
(30 min)		Coffee break
PDT: 11:00‑13:00
AEST: Sat, 27 Apr 04:00‑06:00
ACST: Sat, 27 Apr 03:30‑05:30
ACST: Sat, 27 Apr 03:30‑05:30
AWST: Sat, 27 Apr 02:00‑04:00
(120 min)		Tutorial slot II

Three tutorials in parallel

show abstract

Neuromorphic Intermediate RepresentationBuilding Scalable, Composable Spiking Neural Algorithms with Fugu (An Introduction)An Introduction to Design and Simulation using SNS-Toolbox and SNSTorch
Bernhard Vogginger (TU Dresden), Jason Eshraghian (UC Santa Cruz)

Room: INC central foyer

Tutorial abstract

Srideep Musuvathy (Sandia National Laboratories)

Room: Synthesis Center

Tutorial abstract

Will Nourse (Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland OH)

Room: INC conference room

Tutorial abstract

.ics
PDT: 13:00‑14:00
AEST: Sat, 27 Apr 06:00‑07:00
ACST: Sat, 27 Apr 05:30‑06:30
ACST: Sat, 27 Apr 05:30‑06:30
AWST: Sat, 27 Apr 04:00‑05:00
(60 min)		Lunch



UCSD INC is pleased to offer the following live demonstration, free of charge, to all NICE 2024 attendees during the lunch hour at the UCSD INC Swartz Center for Computational Neuroscience (SCCN, https://sccn.ucsd.edu)
EEG Virtual and Augmented Reality Live Demonstrations
Mobile Brain Imaging (MoBI) Laboratory, SDSC East Expansion Level B2 (adjacent to tutorials and lunch venue):

  • Edgar Mitchell Experience in Virtual Reality
    This is a 360-degree virtual reality simulation following the journey of Edgar Mitchell, an astronaut on the Apollo 14 mission, as he returns from the moon and makes his way back to Earth.
  • Supporting Self-transcendence and Compassion through EEG-guided Virtual Reality
    We utilize an adaptive, closed-loop BCI system that modulates the intensity and content of a virtual psychedelic experience based on EEG-derived Default-Mode-Network activity.
PDT: 14:00‑16:00
AEST: Sat, 27 Apr 07:00‑09:00
ACST: Sat, 27 Apr 06:30‑08:30
ACST: Sat, 27 Apr 06:30‑08:30
AWST: Sat, 27 Apr 05:00‑07:00
(120 min)		Tutorial slot III

Three tutorials in parallel

show abstract

SANA-FE: Simulating Advanced Neuromorphic Architectures for Fast ExplorationN2A – neural programming language and workbenchCrossSim: A Hardware/Software Co-Design Tool for Analog In-Memory Computing
James Boyle (The University of Texas at Austin)

Room: INC central foyer

Tutorial abstract

Fred Rothganger (Sandia National Labs)

Room: Synthesis Center

Tutorial abstract

William Chapman (Sandia National Labs)

Room: INC conference room

Tutorial abstract

.ics
PDT: 16:00
AEST: Sat, 27 Apr 09:00
ACST: Sat, 27 Apr 08:30
ACST: Sat, 27 Apr 08:30
AWST: Sat, 27 Apr 07:00
End of NICE 2024
Contact: bjoern.kindler@kip.uni-heidelberg.de

Sponsors

We gratefully acknowledge the support of the following organizations contributing to the success of NICE 2024:

UC San Diego
Institute for Neural Computation
IEEE Engineering in Medicine and Biology Society
Aizip
BrainChip