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Open AccessJournal ArticleDOI

Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input

TLDR
This work combined intracellular recording in rats with a multi-directional, multi-whisker stimulator system to estimate receptive fields by reverse correlation of stimuli to synaptic inputs, and found that spatiotemporal receptive fields were identified orders of magnitude faster than by conventional spike-based approaches.
Abstract
Of all of the sensory areas, barrel cortex is among the best understood in terms of circuitry, yet least understood in terms of sensory function. We combined intracellular recording in rats with a multi-directional, multi-whisker stimulator system to estimate receptive fields by reverse correlation of stimuli to synaptic inputs. Spatiotemporal receptive fields were identified orders of magnitude faster than by conventional spike-based approaches, even for neurons with little spiking activity. Given a suitable stimulus representation, a linear model captured the stimulus-response relationship for all neurons with high accuracy. In contrast with conventional single-whisker stimuli, complex stimuli revealed markedly sharpened receptive fields, largely as a result of adaptation. This phenomenon allowed the surround to facilitate rather than to suppress responses to the principal whisker. Optimized stimuli enhanced firing in layers 4-6, but not in layers 2/3, which remained sparsely active. Surround facilitation through adaptation may be required for discriminating complex shapes and textures during natural sensing.

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Journal ArticleDOI

Sensory and decision-related activity propagate in a cortical feedback loop during touch perception

TL;DR: It is suggested that sensory inputs converge into a perceptual outcome as feedforward computations are reinforced in a feedback loop as well as in an S1–S2 loop along feedforward and feedback axons.
Journal ArticleDOI

Rapid Sensory Adaptation Redux: A Circuit Perspective.

TL;DR: This Perspective aims to build links between adaptation at multiple scales of neural circuitry by investigating the differential adaptation across brain regions and sub-regions and across specific cell types, for which the explosion of modern tools has just begun to enable.
Journal ArticleDOI

Beyond Columnar Organization: Cell Type- and Target Layer-Specific Principles of Horizontal Axon Projection Patterns in Rat Vibrissal Cortex

TL;DR: Reconstructing in vivo-labeled neurons from all excitatory cell types in the vibrissal part of rat primary somatosensory cortex reveals that the majority of intracortical axons project far beyond the borders of the principal column, rendering IC-units as the primary structural entities for processing complex sensory stimuli.
Journal ArticleDOI

Global and Multiplexed Dendritic Computations under In Vivo-like Conditions.

TL;DR: Using a hierarchical cascade of linear-nonlinear subunits (hLN) to model the dynamically evolving somatic response of neurons receiving complex, in vivo-like spatiotemporal synaptic input patterns provides a data-driven characterization of a key component of cortical circuit computations.
Journal ArticleDOI

Tactile Defensiveness and Impaired Adaptation of Neuronal Activity in the Fmr1 Knock-Out Mouse Model of Autism.

TL;DR: It is proposed that a defect in sensory adaptation within local neuronal networks, beginning at a young age and continuing into adulthood, likely contributes to sensory overreactivity in FXS and perhaps other ASDs.
References
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Book

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

TL;DR: It is argued that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.
Journal ArticleDOI

Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

TL;DR: It is shown that if a certain restricted isometry property holds for the linear transformation defining the constraints, the minimum-rank solution can be recovered by solving a convex optimization problem, namely, the minimization of the nuclear norm over the given affine space.
Journal Article

Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

TL;DR: In this paper, it was shown that if a certain restricted isometry property holds for the linear transformation defining the constraints, the minimum-rank solution can be recovered by solving a convex optimization problem, namely, the minimization of the nuclear norm over the given affine space.
Journal ArticleDOI

Biometric analyses of vibrissal tactile discrimination in the rat

TL;DR: The capacity of the rodent whisker system to distinguish a smooth surface from a rough one is comparable to that of primates using their fingertips and suggest common strategies for active touch in the mammalian somatomotor system.
Journal ArticleDOI

Cortex is driven by weak but synchronously active thalamocortical synapses.

TL;DR: A mechanism of cortical activation by which thalamic input alone can drive cortex is suggested by measuring in vivo the excitatory postsynaptic potential evoked by a single synaptic connection and finding that thalamocortical synapses have low efficacy.
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