September 19, 2017


Here you can download slides from various talks Blake has given. Feel free to distribute: COSYNE, Snowbird, UT, USA, March 2016 International Conference on Memory, Budapest, Hungary, July 2016 Western University, London, ON, Canada, May 2017 Deep Learning Summer School, Montreal, QC, Canada, June 2017 Cognitive and Computational Neuroscience, New York, NY, USA, September 2017
August 5, 2017

Richards BA, Frankland PW, “The Persistence and Transience of Memory”, Neuron, 94 (6), 1071-1074

The predominant focus in the neurobiological study of memory has been on remembering (persistence). However, recent studies have considered the neurobiology of forgetting (transience). Here we draw parallels between neurobiological and computational mechanisms underlying transience. We propose that it is the interaction between persistence and transience that allows for intelligent decision-making in dynamic, noisy environments. Specifically, we argue that transience (1) enhances flexibility, by reducing the influence of outdated information on memory-guided decision-making, and (2) prevents overfitting to specific past events, thereby promoting generalization. According to this view, the goal of memory is not the transmission of information through time, […]
January 31, 2017

Raimondo JV, Richards BA, Woodin MA, “Neuronal chloride and excitability — the big impact of small changes”, Current Opinion in Neurobiology, 43, 35-42

Synaptic inhibition is a critical regulator of neuronal excitability, and in the mature brain the majority of synaptic inhibition is mediated by Cl−-permeable GABAA receptors. Unlike other physiologically relevant ions, Cl− is dynamically regulated, and alterations in the Cl−gradient can have significant impact on neuronal excitability. Due to changes in the neuronal Cl− concentration, GABAergic transmission can bidirectionally regulate the induction of excitatory synaptic plasticity and gate the closing of the critical period for monocular deprivation in visual cortex. GABAergic circuitry can also provide a powerful restraining mechanism for the spread of excitation, however Cl− extrusion mechanisms can become overwhelmed […]
January 31, 2017

Santoro A, Frankland PW, Richards BA, “Memory Transformation Enhances Reinforcement Learning in Dynamic Environments”, Journal of Neuroscience, 36 (48), 12228-12242

Over the course of systems consolidation, there is a switch from a reliance on detailed episodic memories to generalized schematic memories. This switch is sometimes referred to as “memory transformation.” Here we demonstrate a previously unappreciated benefit of memory transformation, namely, its ability to enhance reinforcement learning in a dynamic environment. We developed a neural network that is trained to find rewards in a foraging task where reward locations are continuously changing. The network can use memories for specific locations (episodic memories) and statistical patterns of locations (schematic memories) to guide its search. We find that switching from an episodic […]