Publications

Group highlights

(See full list of journal and conference publications or go to Google Scholar; you can also dive deeper into each publication here)

Interplay between resource dynamics, network structure and spatial propagation of transient explosive synchronization in an adaptively coupled mouse brain network model

Question:Epileptic seizures are considered a dynamic disease of brain networks, representing a complex interplay between the organization of brain networks and the dynamics of metabolic resources. This interplay shapes how seizures initiate and spread in the brain. How do the structure of brain networks and the dynamics of resource allocation influence the generation and propagation of seizures?

Impact: Understanding seizure dynamics at the whole-brain level is crucial for controlling abnormal hypersynchronous activity. Currently, complete brain coverage recordings are lacking in both patients and animal models. In this study, we investigate seizure dynamics at whole brain level in silico. Moreover, our results support existing studies that suggest the cortico-thalamic initiation of generalized seizures, with regions primarily in the cortex initiating the seizures.

Avinash Ranjan, Saurabh R. Gandhi

Network Neuroscience

Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex

Question:Decoding is an extrinsic approach - the experimenter knows what is shown to the subject, and then asks- activity in what brain region can predict what was shown? But what is shown can be very different from what was consciously perceived by the subject. Can a new metric (spectral differentiation) predict what was consciously seen by the subject?

Impact: While decoding neural responses from any of the observed visual areas in mice can predict what was shown to the mouse, spectral differentiation in only specific visual areas (AL, AM) and layers (L2/3) is increased for ethologically ‘meaningful’ compared to ‘meaningless’ stimuli. Could it possibly be predicting what the mouse actually saw, not just what it was shown?

WGP Mayner, W Marshall, YN Billeh, SR Gandhi, S Caldejon, A Cho, F Griffin, N Hancock, S Lambert, EK Lee, JA Luviano, K Mace, C Nayan, TV Nguyen, K North, S Seid, A Williford, C Cirelli, PA Groblewski, J Lecoq, G Tononi, C Koch, A Arkhipov

ENEURO.0280-21.2021 9 (1) (2022)

Influence of claustrum on cortex varies by area, layer, and cell type

Question:The claustrum, a centrally connected brain region, has been hypothetized to be involved in consciousness. How does the cortex respond to optogenetic stimulation of the mouse claustrum?

Impact: We found that unlike a few similar recent studies that suggest claustrum stimulation uniformly inhibits the cortex, claustrum stimulation can actually lead to a wide variety of responses in the cortex, depending on the cortical area and cell types observed. We characterized these responses in depth in this manuscript.

EG McBride, SR Gandhi, JR Kuyat, DR Ollerenshaw, A Arkhipov, C Koch, SR Olsen

Neuron (2022)

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Full List of publications

Interplay between resource dynamics, network structure and spatial propagation of transient explosive synchronization in an adaptively coupled mouse brain network model
Avinash Ranjan, Saurabh R. Gandhi
Network Neuroscience

A survey of neurophysiological differentiation across mouse visual brain areas and timescales
SR Gandhi, WGP Mayner, W Marshall, YN Billeh, C Bennett, SD Gale, C Mochizuki, JH Siegle, S Olsen, G Tononi, C Koch, A Arkhipov
Frontiers in Computational Neuroscience (2023)

Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex
WGP Mayner, W Marshall, YN Billeh, SR Gandhi, S Caldejon, A Cho, F Griffin, N Hancock, S Lambert, EK Lee, JA Luviano, K Mace, C Nayan, TV Nguyen, K North, S Seid, A Williford, C Cirelli, PA Groblewski, J Lecoq, G Tononi, C Koch, A Arkhipov
ENEURO.0280-21.2021 9 (1) (2022)

Influence of claustrum on cortex varies by area, layer, and cell type
EG McBride, SR Gandhi, JR Kuyat, DR Ollerenshaw, A Arkhipov, C Koch, SR Olsen
Neuron (2022)

Cooperation mitigates diversity loss in a spatially expanding microbial population
SR Gandhi, KS Korolev, J Gore
PNAS 116 (47) 23582-23587 (2019)

Range expansions transition from pulled to pushed waves as growth becomes more cooperative in an experimental microbial population
SR Gandhi, EA Yurtsev, KS Korolev, J Gore
PNAS 113, 6922–6927 (2016)

Conference publications

Fractional order modified Treves model: Simulation and Learning
Y Vats, M Mehra, D Oelz, SR Gandhi
ICFDA (2023)