The role of actions in auditory object discrimination

NeuroImage ◽  
2009 ◽  
Vol 48 (2) ◽  
pp. 475-485 ◽  
Author(s):  
Marzia De Lucia ◽  
Christian Camen ◽  
Stephanie Clarke ◽  
Micah M. Murray
Keyword(s):  
Object Discrimination ◽  
Auditory Object

scholarly journals Attention to Configural Information in Change Detection for Faces

Perception ◽  
10.1068/p5517 ◽  
2007 ◽  
Vol 36 (9) ◽  
pp. 1353-1367 ◽  
Author(s):  
Simone K Favelle ◽  
Darren Burke
Keyword(s):  
Change Detection ◽  
Second Order ◽  
Object Discrimination ◽  
Attentional Allocation ◽  
Facial Region ◽  
First Order ◽  
Configural Information ◽  
Order Relations ◽  
Basic Level

In recent research the change-detection paradigm has been used along with cueing manipulations to show that more attention is allocated to the upper than lower facial region, and that this attentional allocation is disrupted by inversion. We report two experiments the object of which was to investigate how the type of information changed might be a factor in these findings by explicitly comparing the role of attention in detecting change to information thought to be ‘special’ to faces (second-order relations) with information that is more useful for basic-level object discrimination (first-order relations). Results suggest that attention is automatically directed to second-order relations in upright faces, but not first-order relations, and that this pattern of attentional allocation is similar across features.

The role of the hippocampus in object discrimination based on visual features

2018 ◽  
Vol 155 ◽  
pp. 127-135 ◽  
Author(s):  
David Levcik ◽  
Tereza Nekovarova ◽  
Eliska Antosova ◽  
Ales Stuchlik ◽  
Daniel Klement
Keyword(s):  
Visual Features ◽  
Object Discrimination

The role of multisensory memories in unisensory object discrimination

2005 ◽  
Vol 24 (2) ◽  
pp. 326-334 ◽  
Author(s):  
Sandra Lehmann ◽  
Micah M. Murray
Keyword(s):  
Object Discrimination

A Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilizing Auditory Nerve Firing for Auditory Category Learning

2018 ◽  
Vol 30 (7) ◽  
pp. 1801-1829
Author(s):  
Irina Higgins ◽  
Simon Stringer ◽  
Jan Schnupp
Keyword(s):  
Auditory Cortex ◽  
Inferior Colliculus ◽  
Cochlear Nucleus ◽  
Auditory Nerve ◽  
Neural Firing ◽  
Object Categories ◽  
Auditory Object ◽  
Spike Time Dependent Plasticity ◽  
Biological Realism

It is well known that auditory nerve (AN) fibers overcome bandwidth limitations through the volley principle, a form of multiplexing. What is less well known is that the volley principle introduces a degree of unpredictability into AN neural firing patterns that may be affecting even simple stimulus categorization learning. We use a physiologically grounded, unsupervised spiking neural network model of the auditory brain with spike time dependent plasticity learning to demonstrate that plastic auditory cortex is unable to learn even simple auditory object categories when exposed to the raw AN firing input without subcortical preprocessing. We then demonstrate the importance of nonplastic subcortical preprocessing within the cochlear nucleus and the inferior colliculus for stabilizing and denoising AN responses. Such preprocessing enables the plastic auditory cortex to learn efficient robust representations of the auditory object categories. The biological realism of our model makes it suitable for generating neurophysiologically testable hypotheses.

scholarly journals Auditory Nerve Stochasticity Impedes Auditory Category Learning: Learning: a Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilising Auditory Nerve Firing

2016 ◽  
Author(s):  
Irina Higgins ◽  
Simon Stringer ◽  
Jan Schnupp
Keyword(s):  
Auditory Cortex ◽  
Inferior Colliculus ◽  
Cochlear Nucleus ◽  
Auditory Nerve ◽  
Neural Firing ◽  
Object Categories ◽  
Auditory Object ◽  
Biological Realism ◽  
Spiking Neural Network Model

AbstractIt is well known that auditory nerve (AN) fibers overcome bandwidth limitations through the “volley principle”, a form of multiplexing. What is less well known is that the volley principle introduces a degree of unpredictability into AN neural firing patterns which makes even simple stimulus categorization tasks difficult. We use a physiologically grounded, unsupervised spiking neural network model of the auditory brain with STDP learning to demonstrate that plastic auditory cortex is unable to learn even simple auditory object categories when exposed to the raw AN firing input without subcortical preprocessing. We then demonstrate the importance of non-plastic subcortical preprocessing within the cochlear nucleus (CN) and the inferior colliculus (IC) for stabilising and denoising AN responses. Such preprocessing enables the plastic auditory cortex to learn efficient robust representations of the auditory object categories. The biological realism of our model makes it suitable for generating neurophysiologically testable hypotheses.

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