Temporal pattern separation in hippocampal neurons through multiplexed neural codes
نویسندگان
چکیده
منابع مشابه
Sensory neural codes using multiplexed temporal scales.
Determining how neuronal activity represents sensory information is central for understanding perception. Recent work shows that neural responses at different timescales can encode different stimulus attributes, resulting in a temporal multiplexing of sensory information. Multiplexing increases the encoding capacity of neural responses, enables disambiguation of stimuli that cannot be discrimin...
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University of Texas San Antonio, TX 78285 The dendritic trees of cortical pyramidal neurons seem ideally suited to perfonn local processing on inputs. To explore some of the implications of this complexity for the computational power of neurons, we simulated a realistic biophysical model of a hippocampal pyramidal cell in which a "cold spot"-a high density patch of inhibitory Ca-dependent K cha...
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Pattern separation, the process of transforming similar representations or memories into highly dissimilar, nonoverlapping representations, is a key component of many functions ascribed to the hippocampus. Computational models have stressed the role of the hippocampus and, in particular, the dentate gyrus and its projections into the CA3 subregion in pattern separation. We used high-resolution ...
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2019
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1006932