DOIPhDBiomedical researchUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/178813/2/7925186.pd
The prevalent means of characterizing stimulus selectivity in sensory neurons is to estimate their r...
<p>(A) Representative single-unit response to stimulus set. Rasters represent unit activity from a s...
<p>(<b>a</b>) Information as a function of the number of learning steps peaks and then plateaus. The...
<p>(A) Examples of receptive fields learned by the 81- and 36-hidden unit models after training on d...
a<p>For our measurements of output correlation (<a href="http://www.ploscompbiol.org/article/info:do...
<p>a) PSTH of a single unit response recorded at a depth of 197 µm (superficial layers) in response ...
A compressed directory of spectrotemporal receptive fields used to simulate the responses
AbstractThis brief review article brings together a series of related experiments in psychophysics a...
<p>Population analyses of receptive field properties of output neurons during succcessive stages of ...
<p>Each panel shows the receptive field of 1 neuron with red indicating excitatory (preferred) respo...
This dissertation is organized into two main parts: physiology and new techniques. The physiology is...
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field p...
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field p...
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field p...
<p>a) Maximum number of spikes in response to a black or white stimulus for the superficial layers, ...
The prevalent means of characterizing stimulus selectivity in sensory neurons is to estimate their r...
<p>(A) Representative single-unit response to stimulus set. Rasters represent unit activity from a s...
<p>(<b>a</b>) Information as a function of the number of learning steps peaks and then plateaus. The...
<p>(A) Examples of receptive fields learned by the 81- and 36-hidden unit models after training on d...
a<p>For our measurements of output correlation (<a href="http://www.ploscompbiol.org/article/info:do...
<p>a) PSTH of a single unit response recorded at a depth of 197 µm (superficial layers) in response ...
A compressed directory of spectrotemporal receptive fields used to simulate the responses
AbstractThis brief review article brings together a series of related experiments in psychophysics a...
<p>Population analyses of receptive field properties of output neurons during succcessive stages of ...
<p>Each panel shows the receptive field of 1 neuron with red indicating excitatory (preferred) respo...
This dissertation is organized into two main parts: physiology and new techniques. The physiology is...
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field p...
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field p...
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field p...
<p>a) Maximum number of spikes in response to a black or white stimulus for the superficial layers, ...
The prevalent means of characterizing stimulus selectivity in sensory neurons is to estimate their r...
<p>(A) Representative single-unit response to stimulus set. Rasters represent unit activity from a s...
<p>(<b>a</b>) Information as a function of the number of learning steps peaks and then plateaus. The...
Add to ORKG