#Tag · bonfire.cafe

Postdoc fellowship opportunity for ECRs (<3 yrs post-PhD). Note that if you want to apply to work with me as your mentor, our dept has an internal deadline of Dec 4th so please email me asap. Our internal process is shorter than the full application.

https://royalcommission1851.org/fellowships/research-fellowships

#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

Fabrizio Musacchio boosted

Dan Goodman

@neuralreckoning@neuromatch.social · 3 weeks ago

Reminder if you missed #SNUFA spiking neural network and neuromorphic workshop earlier this month, all our talks were recorded and are now available to watch.

https://www.youtube.com/playlist?list=PL09WqqDbQWHEyTZPLMKEi9-RD6kax0tCR

#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

Dan Goodman

@neuralreckoning@neuromatch.social · 3 weeks ago

https://royalcommission1851.org/fellowships/research-fellowships

#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

Dan Goodman

@neuralreckoning@neuromatch.social · 3 weeks ago

Reminder if you missed #SNUFA spiking neural network and neuromorphic workshop earlier this month, all our talks were recorded and are now available to watch.

https://www.youtube.com/playlist?list=PL09WqqDbQWHEyTZPLMKEi9-RD6kax0tCR

#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

Dan Goodman and 1 other boosted

Dan Goodman

@neuralreckoning@neuromatch.social · 4 weeks ago

Psst - #neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kB of parameter memory by quantising weights and delays? Check out our preprint with Pengfei Sun and Danyal Akarca:

https://arxiv.org/abs/2510.27434

Or check out the TLDR thread on Bsky:

https://bsky.app/profile/did:plc:niqde7rkzo7ua3scet2rzyt7/post/3m5jpksani22m

#SpikingNeuralNetworks #ComputationalNeuroscience #Neuroscience

https://bsky.app

View

arXiv.org

Exploiting heterogeneous delays for efficient computation in low-bit neural networks

Neural networks rely on learning synaptic weights. However, this overlooks other neural parameters that can also be learned and may be utilized by the brain. One such parameter is the delay: the brain exhibits complex temporal dynamics with heterogeneous delays, where signals are transmitted asynchronously between neurons. It has been theorized that this delay heterogeneity, rather than a cost to be minimized, can be exploited in embodied contexts where task-relevant information naturally sits contextually in the time domain. We test this hypothesis by training spiking neural networks to modify not only their weights but also their delays at different levels of precision. We find that delay heterogeneity enables state-of-the-art performance on temporally complex neuromorphic problems and can be achieved even when weights are extremely imprecise (1.58-bit ternary precision: just positive, negative, or absent). By enabling high performance with extremely low-precision weights, delay heterogeneity allows memory-efficient solutions that maintain state-of-the-art accuracy even when weights are compressed over an order of magnitude more aggressively than typically studied weight-only networks. We show how delays and time-constants adaptively trade-off, and reveal through ablation that task performance depends on task-appropriate delay distributions, with temporally-complex tasks requiring longer delays. Our results suggest temporal heterogeneity is an important principle for efficient computation, particularly when task-relevant information is temporal - as in the physical world - with implications for embodied intelligent systems and neuromorphic hardware.

Dan Goodman

@neuralreckoning@neuromatch.social · 4 weeks ago

https://arxiv.org/abs/2510.27434

Or check out the TLDR thread on Bsky:

https://bsky.app/profile/did:plc:niqde7rkzo7ua3scet2rzyt7/post/3m5jpksani22m

#SpikingNeuralNetworks #ComputationalNeuroscience #Neuroscience

https://bsky.app

View

arXiv.org

Exploiting heterogeneous delays for efficient computation in low-bit neural networks

Ross Gayler and 1 other boosted

Dan Goodman

@neuralreckoning@neuromatch.social · last month

Talks from #SNUFA 2025 are now available on YouTube:

https://youtube.com/playlist?list=PL09WqqDbQWHEyTZPLMKEi9-RD6kax0tCR&si=Y-sJeZvIn3O062DG

#neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

YouTube

SNUFA 2025 Workshop

Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/

Dan Goodman

@neuralreckoning@neuromatch.social · last month

Talks from #SNUFA 2025 are now available on YouTube:

https://youtube.com/playlist?list=PL09WqqDbQWHEyTZPLMKEi9-RD6kax0tCR&si=Y-sJeZvIn3O062DG

#neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

YouTube

SNUFA 2025 Workshop

Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/

Ulrike Hahn boosted

Dan Goodman

@neuralreckoning@neuromatch.social · 2 months ago

Spiking NN fans - the #SNUFA workshop (Nov 5-6) agenda is finalised and online now. Make sure to register (free) soon. (Note you can register for either day and come to both.)

Agenda: https://snufa.net/2025/
Registration: https://www.eventbrite.co.uk/e/snufa-2025-tickets-1549418545579

Thanks to all who voted on abstracts!

#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

Eventbrite

SNUFA 2025

Online computational neuroscience and neuromorphic engineering workshop

SNUFA

SNUFA 2025

Spiking Neural networks as Universal Function Approximators

Dan Goodman

@neuralreckoning@neuromatch.social · 2 months ago

Spiking NN fans - the #SNUFA workshop (Nov 5-6) agenda is finalised and online now. Make sure to register (free) soon. (Note you can register for either day and come to both.)

Agenda: https://snufa.net/2025/
Registration: https://www.eventbrite.co.uk/e/snufa-2025-tickets-1549418545579

Thanks to all who voted on abstracts!

#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks

Eventbrite

SNUFA 2025

Online computational neuroscience and neuromorphic engineering workshop

SNUFA

SNUFA 2025

Spiking Neural networks as Universal Function Approximators

Ulrike Hahn boosted

Dan Goodman

@neuralreckoning@neuromatch.social · 4 months ago

Spiking neural networks people, this message is for you!

The annual SNUFA workshop is now open for abstract submission (deadline Sept 26) and (free) registration. This year's speakers include Elisabetta Chicca, Jason Eshraghian, Tomoki Fukai, Chengcheng Huang, and... you?

https://snufa.net/2025/

Please boost!

#neuroscience #computationalneuroscience #SpikingNeuralNetworks

Dan Goodman

@neuralreckoning@neuromatch.social · 4 months ago

Spiking neural networks people, this message is for you!

https://snufa.net/2025/

Please boost!

#neuroscience #computationalneuroscience #SpikingNeuralNetworks

Unnamed TNG skant beefcake boosted

Dan Goodman

@neuralreckoning@neuromatch.social · 5 months ago

We are hiring a postdoc. It's a broadly scoped position but I think it would be of interest to someone in #Neuromorphic or #SpikingNeuralNetworks. See ad below. Inquiries to Dan Akarca because I will be on holiday.

Note, the application deadline is very soon! (Unavoidable admin issues.)

https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=24879&jobTitle=Research+Associate*+in+NeuroAI%2C+Neuromorphic+Systems%2C+Hardware-Software+Co-Design

Dan Goodman

@neuralreckoning@neuromatch.social · 5 months ago

Note, the application deadline is very soon! (Unavoidable admin issues.)

https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=24879&jobTitle=Research+Associate*+in+NeuroAI%2C+Neuromorphic+Systems%2C+Hardware-Software+Co-Design