M
Monika P. Jadi
Researcher at Yale University
Publications - 25
Citations - 934
Monika P. Jadi is an academic researcher from Yale University. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 11, co-authored 19 publications receiving 742 citations. Previous affiliations of Monika P. Jadi include Salk Institute for Biological Studies & University of Southern California.
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Journal ArticleDOI
Cortical gamma band synchronization through somatostatin interneurons
Julia Veit,Richard Hakim,Richard Hakim,Monika P. Jadi,Terrence J. Sejnowski,Terrence J. Sejnowski,Hillel Adesnik,Hillel Adesnik +7 more
TL;DR: Using cell-type-specific optogenetic manipulations in behaving animals, it is shown that dendrite-targeting somatostatin interneurons are critical for a visually induced, context-dependent gamma rhythm in visual cortex and that SOM neurons are required for long-distance coherence across the visual cortex.
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Location-dependent effects of inhibition on local spiking in pyramidal neuron dendrites.
TL;DR: These findings suggest that cortical circuits could assign different mixtures of gain vs. threshold inhibition to different neural pathways, and thus tailor their local computations, by managing their relative activation of soma- vs. dendrite-targeting interneurons.
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Abnormal Gamma Oscillations in N-Methyl-D-Aspartate Receptor Hypofunction Models of Schizophrenia
TL;DR: While PV+ INs have been the main focus of SZ studies in animal models, the implications of NMDAR hypofunction in other types of INs are discussed using computational models for GBO modulation in the visual cortex.
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Location-Dependent Excitatory Synaptic Interactions in Pyramidal Neuron Dendrites
TL;DR: The findings support the view that PN basal dendrites possess significant analog computing capabilities, and suggest that the diverse forms of nonlinear response modulation seen in the neocortex could depend in part on pathway-specific biases in the spatial distribution of excitatory synaptic contacts onto PNbasal dendritic arbors.
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Cortical oscillations arise from contextual interactions that regulate sparse coding
TL;DR: The results demonstrate how the frequency and power of oscillations, and hence spike times, can be modulated by both sensory input and behavioral context, with powerful oscillations signifying a cortical state under inhibitory control in which spikes are sparse and spike timing is precise.