Neural Reckoning

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Neural Reckoning is a research group at Imperial College London, led by Dan Goodman, with a main focus on computational neuroscience.

Latest Videos

Marissa Dominijanni - Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays

Marissa Dominijanni - Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays

Neural Reckoning

195 views·6 months ago

Balázs Mészáros - Space as Time Through Neuron Position Learning

Balázs Mészáros - Space as Time Through Neuron Position Learning

Neural Reckoning

313 views·6 months ago

Jason Eshraghian - Neuromorphic LLMs

Jason Eshraghian - Neuromorphic LLMs

Neural Reckoning

978 views·6 months ago

Raphaël Bergoin - Emergence and maintenance of modularity in neural networks with inhibitory STDP

Raphaël Bergoin - Emergence and maintenance of modularity in neural networks with inhibitory STDP

Neural Reckoning

99 views·6 months ago

Elisabetta Chicca - Event-Based Vision for Egomotion Estimation

Elisabetta Chicca - Event-Based Vision for Egomotion Estimation

Neural Reckoning

145 views·6 months ago

SNUFA 2025 - Flash talks

SNUFA 2025 - Flash talks

Neural Reckoning

155 views·6 months ago

Paolo Agliati - Spiking neurons as predictive controllers of linear systems

Paolo Agliati - Spiking neurons as predictive controllers of linear systems

Neural Reckoning

143 views·6 months ago

Chengcheng Huang - State modulation in spatial spiking networks of multiple interneuron subtypes

Chengcheng Huang - State modulation in spatial spiking networks of multiple interneuron subtypes

Neural Reckoning

147 views·6 months ago

Claudia Cusseddu - Synaptic Plasticity Shapes Triplet Connectivity Motifs in Spiking Networks

Claudia Cusseddu - Synaptic Plasticity Shapes Triplet Connectivity Motifs in Spiking Networks

Neural Reckoning

104 views·6 months ago

Christoph Miehl - Assembly-based computations through contextual dendritic gating of plasticity

Christoph Miehl - Assembly-based computations through contextual dendritic gating of plasticity

Neural Reckoning

172 views·6 months ago

Tomoki Fukai - Spontaneous replay of memory assemblies in plastic spiking network models

Tomoki Fukai - Spontaneous replay of memory assemblies in plastic spiking network models

Neural Reckoning

272 views·6 months ago

Anna Levina - Timescales flexible in biological neural systems, useful for computations

Anna Levina - Timescales flexible in biological neural systems, useful for computations

Neural Reckoning

448 views·1 year ago

Veronika Koren - Efficient encodingtransmissiontransformation sensory features in a multilayer SNN

Veronika Koren - Efficient encodingtransmissiontransformation sensory features in a multilayer SNN

Neural Reckoning

223 views·1 year ago

Ulaş İbrahim Ayyılmaz - Excinh neurons distinct roles for learning, temporal scaling, and WM

Ulaş İbrahim Ayyılmaz - Excinh neurons distinct roles for learning, temporal scaling, and WM

Neural Reckoning

183 views·1 year ago

Rainer Engelken - Using Dynamical Systems Theory to Improve Surrogate Gradient Learning in SNNs

Rainer Engelken - Using Dynamical Systems Theory to Improve Surrogate Gradient Learning in SNNs

Neural Reckoning

435 views·1 year ago

Filippo Moro - On the role of temporal hierarchy in Spiking Neural Networks

Filippo Moro - On the role of temporal hierarchy in Spiking Neural Networks

Neural Reckoning

501 views·1 year ago

David Kappel - Spiking networks for efficient machine learning

David Kappel - Spiking networks for efficient machine learning

Neural Reckoning

313 views·1 year ago

Flash talks from SNUFA 2024

Flash talks from SNUFA 2024

Neural Reckoning

228 views·1 year ago

William Podlaski - Storing overlapping associative memories on latent manifolds in low-rank SNNs

William Podlaski - Storing overlapping associative memories on latent manifolds in low-rank SNNs

Neural Reckoning

243 views·1 year ago

Christian Machens - Computing with spikes - a geometric approach to spiking neural networks

Christian Machens - Computing with spikes - a geometric approach to spiking neural networks

Neural Reckoning

1.2K views·1 year ago

Matteo Saponati - Feedback control algorithm for online learning in SNN and neuromorphic devices

Matteo Saponati - Feedback control algorithm for online learning in SNN and neuromorphic devices

Neural Reckoning

329 views·1 year ago

Karim Habashy - Adapting to time why nature chose to evolve a diverse set of neurons

Karim Habashy - Adapting to time why nature chose to evolve a diverse set of neurons

Neural Reckoning

318 views·1 year ago

Chiara Bartolozzi - Neuromorphic technologies for robotic applications, from sensing to control

Chiara Bartolozzi - Neuromorphic technologies for robotic applications, from sensing to control

Neural Reckoning

518 views·1 year ago

W9 V1 - What are spikes for

W9 V1 - What are spikes for

Neural Reckoning

975 views·2 years ago

W9 V0 - Does neuroscience work

W9 V0 - Does neuroscience work

Neural Reckoning

809 views·2 years ago

W8 V2 - Neuromorphic sensing and applications

W8 V2 - Neuromorphic sensing and applications

Neural Reckoning

1.3K views·2 years ago

W8 V1 - Neuromorphic computing

W8 V1 - Neuromorphic computing

Neural Reckoning

2.5K views·2 years ago

W8 V0 - Introduction to neuromorphic devices

W8 V0 - Introduction to neuromorphic devices

Neural Reckoning

1.3K views·2 years ago

W7 V0 - Decision making

W7 V0 - Decision making

Neural Reckoning

563 views·2 years ago

W6 V4 - Exercise

W6 V4 - Exercise

Neural Reckoning

240 views·2 years ago

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