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Topic: short-term memory

ePoster
3 ePosters
Seminar
1 seminar
Podcast episode
1 podcast episode

In Neuroscience and Behavioral Neuroscience

ePoster · Neuroscience

Theory of phase coding in recurrent neural networks

Matthijs Pals · Neuromatch 5

Wed, Sep 28, 2022

Experimental evidence suggests that the brain is able to encode memories in the phase of ongoing low-frequency oscillations. Recently, trainable recurrent neural networks (RNNs) have emerged as promising models of how neural circuits process information. However, short-term memory maintenance in these networks has mostly been implemented through static attractors. Thus, it remains unclear if and how RNNs can encode memories in the relative phase of oscillations. Here we show that such phase-dependent coding can arise through the training of RNNs on memory tasks. We characterize how the emerg

Seminar · Neuroscience

Modularity and Robustness of Frontal Cortical Networks

Nuo Li · Baylor College of Medicine, USA

Tue, May 24, 2022 · 14:00 UTC

Nuo Li (Baylor College of Medicine, USA) shares novel insights into coordinated interhemispheric large-scale neural network activity underpinning short-term memory in mice. Relevant techniques covered include: simultaneous multi-regional recordings using multiple 64-channel H probes during head-fixed behavior in mice. simultaneous optogenetics and population recording. analysis of population recordings to infer interactions between brain regions. Reference: Chen G, Kang B, Lindsey J, Druckmann S, Li N, (2021). Modularity and robustness of frontal cortex networks. Cell, 184(14):3717-3730.

The brain encodes information in the spiking dynamics of recurrently connected inhibitory (I) and excitatory (E) neurons. Recurrent Spiking Neural Networks (RSNNs) have the potential to illuminate mechanisms of neurobiological computation. While inhibition and excitation underlie cortical dynamics, the roles of individual E and I neurons, as well as distinct I neuron subclasses, remain unclear. To elucidate these roles, we created biologically plausible RSNNs with leaky integrate and fire neurons and trained the networks on variations of a temporal task. We find that distinct interneuron subcl

It is challenging to create chemical-induced models of Alzheimer’s disease without using genetically bred animals. Intracerebroventricular (ICV) streptozocin (STZ) administration at a sub-diabetogenic dose can serve as a viable model for cognitive impairment associated with Alzheimer's disease via a disruption of glucose and energy metabolism in the brain, accompanied by oxidative stress and a concurrent impact on cognitive function. The aim of this study is to evaluate the behavioral results of once or twice injections of the ICV STZ administration methods. ICV guide cannulas were placed unil