Decoding Cognitive Processes from Neural Ensembles

Decoding Cognitive Processes from Functional MRI

The goal of cognitive neuroscience is to understand the the brain processes that underlie cognitive function. These brain processes are studied by examining neural responses to experimental tasks and stimuli. While most experiments are designed to isolate a single cognitive process, the resulting brain images often encode multiple processes simultaneously. Thus standard classification methods a...

Encoding and Decoding of Neural Ensembles

One of the fundamental problems in neuroscience today is to understand how the activation of large populations of neurons give rise to the higher order functions of the brain including learning, memory, cognition, perception, action and ultimately conscious awareness. Electrophysiological recordings in behaving animals over the past forty years have revealed considerable information about what ...

Random Processes in Neural Network Ensembles

Random processes play an important role in the training of neural networks ensembles, where the goal is to create a set of minimally positive correlated or negatively correlated predictors with low bias. This paper examines the sources of nondeterminism in the learning process, such as stochastic gradient descent, random initialisation of weights, and sparse architectures of neural networks. Us...

Decoding trajectories from posterior parietal cortex ensembles.

High-level cognitive signals in the posterior parietal cortex (PPC) have previously been used to decode the intended endpoint of a reach, providing the first evidence that PPC can be used for direct control of a neural prosthesis (Musallam et al., 2004). Here we expand on this work by showing that PPC neural activity can be harnessed to estimate not only the endpoint but also to continuously co...

AREADNE 2010 Research in Encoding and Decoding of Neural Ensembles