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Found 5 papers, 1 papers with code
BrainSLAM: SLAM on Neural Population Activity Data
This system uses a convolutional neural network (CNN) to decode velocity and familiarity information from wavelet scalograms of neural local field potential data recorded from rats as they navigate a 2D maze.
Signatures of Bayesian inference emerge from energy efficient synapses
The resulting networks revealed a tradeoff between circuit performance and the energetic cost of synaptic reliability.
Nonlinear slow-timescale mechanisms in synaptic plasticity
Learning and memory relies on synapses changing their strengths in response to neural activity.
Neural circuit function redundancy in brain disorders
Redundancy is a ubiquitous property of the nervous system.
Adaptive Estimators Show Information Compression in Deep Neural Networks
With two improved methods of estimation, firstly, we show that saturation of the activation function is not required for compression, and the amount of compression varies between different activation functions.
