Cooperative Nonlinearities in Auditory Cortical Neurons

Atencio, Craig A.; Sharpee, Tatyana O.; Schreiner, Christoph E.

doi:10.1016/j.neuron.2008.04.026

Cited by 134 publications

(171 citation statements)

References 53 publications

Supporting

Mentioning

164

Contrasting

Order By: Relevance

“…The two MIDs, and their nonlinearities, differed in shape (21) and showed different properties with laminar position. The spectrotemporal separability of MID1s mirrored that of STAs (21). MID1s were most separable in granular layers (Fig.…”

Section: Resultsmentioning

confidence: 74%

“…operation of these two MIDs can capture a substantially larger proportion of the MI of cortical neurons than the STA or a single MID alone (21). In a previous report (46), we focused on the layer-specific temporal and spectral modulation content.…”

Section: Resultsmentioning

confidence: 97%

“…MIDs provide an expanded characterization of neuronal processing by revealing contributions of more than one STRF (or multicomponent stimulus dimension) in shaping a neuron's response properties (20,21,24). MIDs fall under linear-nonlinear models (25,26) that combine linear spectrotemporal stimulus features with a static, but neuronspecific, nonlinearity to compactly represent neural processing (27).…”

Section: Resultsmentioning

confidence: 99%

“…The first aspect substantially reduced variability introduced by the large parametric range of cortical neurons in the thalamocortical input layers and by changes in physiological state in sequential recordings along electrode tracks (4,22). The second aspect used a new window on neuronal processing, the MIDs, uncovering hitherto hidden properties of auditory cortical processing (21). Specifically, the MID analysis revealed a second STRF that influences the neuron's responsiveness, in conjunction with the first STRF.…”

Section: Discussionmentioning

confidence: 99%

“…AI cells combine aspects of simple and complex cells, because they appear to contain STRFs with both an asymmetric (like simple cells) and a symmetric (like complex cells) nonlinearity. A direct analog of an envelope-phase invariant complex cell, which has no STA, has yet to be found in auditory cortex (21).…”

Section: Discussionmentioning

confidence: 99%

See 4 more Smart Citations

Hierarchical computation in the canonical auditory cortical circuit

Atencio

Sharpee

Schreiner

2009

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

Sensory cortical anatomy has identified a canonical microcircuit underlying computations between and within layers. This feedforward circuit processes information serially from granular to supragranular and to infragranular layers. How this substrate correlates with an auditory cortical processing hierarchy is unclear. We recorded simultaneously from all layers in cat primary auditory cortex (AI) and estimated spectrotemporal receptive fields (STRFs) and associated nonlinearities. Spike-triggered averaged STRFs revealed that temporal precision, spectrotemporal separability, and feature selectivity varied with layer according to a hierarchical processing model. STRFs from maximally informative dimension (MID) analysis confirmed hierarchical processing. Of two cooperative MIDs identified for each neuron, the first comprised the majority of stimulus information in granular layers. Second MID contributions and nonlinear cooperativity increased in supragranular and infragranular layers. The AI microcircuit provides a valid template for three independent hierarchical computation principles. Increases in processing complexity, STRF cooperativity, and nonlinearity correlate with the synaptic distance from granular layers.auditory cortex ͉ cortical laminae ͉ information ͉ spectrotemporal receptive field S ensory cortical processing is achieved through a basic anatomical and functional microcircuit that appears to be repeated across modalities with only minor modifications. It represents a hierarchy of connection patterns, with information proceeding to elements of the circuit in a largely sequential manner. In the main excitatory feed-forward pathway, thalamus sends projections to granular cortical layers. Information proceeds, largely serially, to supragranular and infragranular layers, where it is distributed to cortical and subcortical targets (1, 2). The basic structure of this microcircuit is present in auditory cortex (3), although despite our anatomical knowledge, little is known about whether and how processing principles differ between layers (4).In primary auditory cortex (AI), the organization of each layer is complex, and much like a nucleus, has specific sources, targets, and local projection patterns, in addition to intralaminar and interlaminar connections (5). Further, the ascending and descending outputs originating from each layer likely serve different purposes, because each targets different regions of the auditory system (6). Because of this complexity, general rules that capture how stimulus representations change between layers remain unclear. To date, only a few parameters have been identified that remain relatively constant across cortical depth, including preferred frequency (7) and aurality (8-11). However, even for those parameters, deviations from uniformity have been observed (12, 13).The complexity of auditory cortical anatomy leads to two main schemes. The first is that no general processing rules exist, because it has been speculated that microcircuits are too diverse to generate universa...

show abstract

Section: Resultsmentioning

confidence: 74%

Section: Resultsmentioning

confidence: 97%