Hierarchical representations in the auditory cortex
TO Sharpee, CA Atencio, CE Schreiner - Current opinion in neurobiology, 2011 - Elsevier
Understanding the neural mechanisms of invariant object recognition remains one of the
major unsolved problems in neuroscience. A common solution that is thought to be …
major unsolved problems in neuroscience. A common solution that is thought to be …
Adaptive stimulus optimization for sensory systems neuroscience
C DiMattina, K Zhang - Frontiers in neural circuits, 2013 - frontiersin.org
In this paper, we review several lines of recent work aimed at developing practical methods
for adaptive on-line stimulus generation for sensory neurophysiology. We consider various …
for adaptive on-line stimulus generation for sensory neurophysiology. We consider various …
Information theory in neuroscience
Information Theory started and, according to some, ended with Shannon's seminal paper “A
Mathematical Theory of Communication”(Shannon 1948). Because its significance and …
Mathematical Theory of Communication”(Shannon 1948). Because its significance and …
Active data collection for efficient estimation and comparison of nonlinear neural models
C DiMattina, K Zhang - Neural computation, 2011 - direct.mit.edu
The stimulus-response relationship of many sensory neurons is nonlinear, but fully
quantifying this relationship by a complex nonlinear model may require too much data to be …
quantifying this relationship by a complex nonlinear model may require too much data to be …
Data-driven approaches to understanding visual neuron activity
DA Butts - Annual review of vision science, 2019 - annualreviews.org
With modern neurophysiological methods able to record neural activity throughout the visual
pathway in the context of arbitrarily complex visual stimulation, our understanding of visual …
pathway in the context of arbitrarily complex visual stimulation, our understanding of visual …
Active Learning for Discrete Latent Variable Models
Active learning seeks to reduce the amount of data required to fit the parameters of a model,
thus forming an important class of techniques in modern machine learning. However, past …
thus forming an important class of techniques in modern machine learning. However, past …
Online stimulus optimization rapidly reveals multidimensional selectivity in auditory cortical neurons
AR Chambers, KE Hancock, K Sen… - Journal of …, 2014 - Soc Neuroscience
Neurons in sensory brain regions shape our perception of the surrounding environment
through two parallel operations: decomposition and integration. For example, auditory …
through two parallel operations: decomposition and integration. For example, auditory …
Mapping and cracking sensorimotor circuits in genetic model organisms
One central goal of systems neuroscience is to understand how neural circuits implement
the computations that link sensory inputs to behavior. Work combining electrophysiological …
the computations that link sensory inputs to behavior. Work combining electrophysiological …
[HTML][HTML] Adaptive stimulus selection for multi-alternative psychometric functions with lapses
Psychometric functions (PFs) quantify how external stimuli affect behavior, and they play an
important role in building models of sensory and cognitive processes. Adaptive stimulus …
important role in building models of sensory and cognitive processes. Adaptive stimulus …