Dr Adam Perrett

Neural Computing Journal Club

Previous

Presenter: Mike Phuycharoen - 25/11/20

Paper: Integrating information in the brain’s EM field: the cemi field theory of consciousness

Slides: pdf

Presenter: Mollie Ward - 11/11/20

Paper: Presynaptic inhibition rapidly stabilises recurrent excitation in the face of plasticity

Slides: pptx

Presenter: Edward Jones - 14/10/20

Paper: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Slides: pdf

Presenter: Liam Panchaud - 30/9/20

Paper: A spiking neuron constructed by the skyrmion-based spin torque nano-oscillator

Slides: pptx

Presenter: Sara Summerton - 16/9/20

Paper: Gaussian Gated Linear Networks

Slides: pptx

Presenter: Chen Li - 15/6/20

Paper: Robustness to Noisy Synaptic Weights in Spiking Neural Networks

Slides: pptx

Presenter: Giulia D'Angelo - 15/6/20

Paper: Paper: A model of saliency-based visual attention for rapid scene analysis

Slides: pptx

Related Work:

• Eye movements during perception of complex objects
• A model of proto-object based saliency
• Proto-object based visual saliency model with a motion-sensitive channela>
• A proto-object based saliency model in three-dimensional space
• Proto-Object Based Saliency Model with Second-Order Texture Feature

Presenter: Mihai Bujanca - 1/6/20

Paper: Representations of space in the mammalian brain (references in slides)

Slides: pdf

Related Work:

• Nancy Kanwisher's "The Human Brain" course at MIT
• Robert Sapolsky's "Human Behavioural Biology" course at Stanford
• The lectures from the Nobel Prize Award for the discovery of Grid Cells (John O'Keefe, Edvard Moser, May-Britt Moser)
• A more in-depth lecture from Edvard Moser on grid cells

Presenter: Adam Perrett - 18/5/20

Paper: Distilling the Knowledge in a Neural Network

Slides: pptx

Related Work:

• Policy distillation
• Exploration by random network distillation
• Face model compression by distilling knowledge from neurons
• Moonshine: Distilling with cheap convolutions

Presenter: Petrut Bogdan - 11/5/20

Paper: Sleep, Memory, and Plasticity

Slides: pdf

Related Work:

• Why do we sleep? (paper)
• Why We Sleep by Matthew Walker (Audible)

Presenter: Luca Peres - 4/5/20

Paper: Memristive synapses connect brain and silicon spiking neurons

Slides: pptx

Presenter: Mark Kynigos - 27/4/20

Paper: Progress in neuromorphic photonics

Slides: pptx

Related Work:

• Neuromorphic Photonics (Book)

Optical AI chip companies (optical accelerators for DNNs - Contact for further information):

• https://www.optalysys.com/ Cambridge based.
• https://lighton.ai/our-technology/ Paris based.
• https://lightmatter.co Boston (US) based.

Presenter: Mollie Ward - 6/4/20

Paper: Dendritic action potentials and computation in human layer 2/3 cortical neurons

Slides: pptx

Video: Available on request

Related Work:

• Adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links
• Dendritic computation

Presenter: Edward Jones - 25/3/20

Paper: Recognizing Images with at most one Spike per Neuron

Slides: pptx

Related Work:

• Classifying Images with Few Spikes per Neuron

Presenter: Sara Summerton - 4/3/20

Paper: A distributional code for value in dopamine-based reinforcement learning

Slides: odp

Related Work:

• Learning to predict by the methods of temporal differences
• A neural substrate of prediction and reward
• It Takes Two Neurons To Ride a Bicycle

Presenter: Adam Perrett - 19/2/20

Paper: Recurrent Models of Visual Attention

Slides: pptx

Related Work:

• Convolving over time via recurrent connections for sequential weight sharing in neural networks
• Event-driven visual attention for the humanoid robot iCub
• Pieter Roelfsema
• Tobi Delbrucks