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Current · Arkansas
Last published
2025
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OpenAlex · ORCID
Refreshed
2026-10-06
S
Shree Hari Gautam
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Also affiliated: Florida State University (2012); Binghamton University (2012); Université Toulouse III - Paul Sabatier (2012); Hokkaido University (2005–2008); Yale University (2008–2014); John B. Pierce Laboratory (2010–2014)
13 h-index
37 pubs
567 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Shree Hari Gautam's research investigates the complex dynamics of neural activity, particularly focusing on the olfactory system and its representation in the brain. His work has explored how sensory input, such as odorants, is encoded in the brain's high-dimensional activity and how this encoding relates to low-dimensional structures. Gautam has utilized data-driven models to reveal differences in olfactory bulb mitral cell spiking patterns during ortho- and retronasal stimulation. His research also examines how factors like excessive inhibition can impact brain complexity, as demonstrated in studies involving MeCP2 disruption.
Gautam has published 38 papers, accumulating 560 citations and an h-index of 13. He has collaborated extensively with researchers at the University of Arkansas at Fayetteville, including Srimoy Chakraborty and Woodrow L. Shew, with whom he shares 16 co-authored publications. His recent work, published in 2023 and 2024, continues to focus on the low-dimensional structure of brain dynamics and sensory information processing.
Metrics
- h-index: 13
- Publications: 37
- Citations: 567
Selected Publications
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When Random Variation Results in Functional Segregation (2026)
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High density multi-electrode array electrophysiology in awake animals (2026)
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Coding odor modality in piriform cortex efficiently with low-dimensional subspaces: a shared covariance decoding approach (2025)
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Coding odor modality in piriform cortex efficiently with low-dimensional subspaces: a Shared Covariance Decoding approach (2024)
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Low-dimensional criticality embedded in high-dimensional awake brain dynamics (2024)
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Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces (2023)
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When random variation results in functional significance (2023)
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Odor modality is transmitted to cortical brain regions from the olfactory bulb (2023)
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Odor modality is transmitted to cortical brain regions from the olfactory bulb (2023)
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Low dimensional criticality embedded in high dimensional awake brain dynamics (2023)
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Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces (2022)
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Odor-evoked Increases in Olfactory Bulb Mitral Cell Spiking Variability (2021)
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Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption (2021)
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Differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation revealed by data-driven models (2021)
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Odor-evoked increases in olfactory bulb mitral cell spiking variability (2021)
Collaboration Network
Top Collaborators
Woodrow L. Shew
University of Arkansas at Fayetteville
21 shared publications
In database
- Maximizing Sensory Dynamic Range by Tuning the Cortical State to Criticality
- Low-dimensional criticality embedded in high-dimensional awake brain dynamics
- A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system
- Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex
- Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption
Showing 5 of 21 shared publications
Andrea K. Barreiro
Southern Methodist University (US)
11 shared publications
- A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system
- Differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation revealed by data-driven models
- Odor-evoked increases in olfactory bulb mitral cell spiking variability
- Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces
- Odor modality is transmitted to cortical brain regions from the olfactory bulb
Showing 5 of 11 shared publications
Cheng Ly
Virginia Commonwealth University (US)
11 shared publications
- A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system
- Differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation revealed by data-driven models
- Odor-evoked increases in olfactory bulb mitral cell spiking variability
- Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces
- Odor modality is transmitted to cortical brain regions from the olfactory bulb
Showing 5 of 11 shared publications
Patrick Kells
University of Arkansas at Fayetteville
4 shared publications
In database
- Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex
- Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption
- Reduced complexity of brain and behavior due to MeCP2 disruption and excessive inhibition
- When random variation results in functional significance
Jingwen Li
University of Arkansas at Fayetteville
4 shared publications
In database
- Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex
- Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption
- When random variation results in functional significance
- High density multi-electrode array electrophysiology in awake animals
Michelle F. Craft
Virginia Commonwealth University (US)
4 shared publications
- Differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation revealed by data-driven models
- Odor modality is transmitted to cortical brain regions from the olfactory bulb
- Analyzing the differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation
- Odor modality is transmitted to cortical brain regions from the olfactory bulb
Antonio J. Fontenele
University of Arkansas at Fayetteville
4 shared publications
In database
- Low-dimensional criticality embedded in high-dimensional awake brain dynamics
- Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces
- Low dimensional criticality embedded in high dimensional awake brain dynamics
- Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces
Stephen K. Grady
University of Arkansas at Fayetteville (US)
2 shared publications
- Maximizing Sensory Dynamic Range by Tuning the Cortical State to Criticality
- Millisecond, Micron Precision Multi-Whisker Detector
Thanh T. Hoang
University of Arkansas at Fayetteville (US)
2 shared publications
- Maximizing Sensory Dynamic Range by Tuning the Cortical State to Criticality
- Millisecond, Micron Precision Multi-Whisker Detector
Leila Fakhraei
University of Arkansas at Fayetteville (US)
2 shared publications
- Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex
- State-dependent intrinsic predictability of cortical network dynamics
Prashant C. Raju
University of Arkansas at Fayetteville (US)
2 shared publications
- Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces
- Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces
J. Samuel Sooter
University of Arkansas at Fayetteville
2 shared publications
In database
- Low-dimensional criticality embedded in high-dimensional awake brain dynamics
- Low dimensional criticality embedded in high dimensional awake brain dynamics
V. Kindler Norman
University of Arkansas at Fayetteville
2 shared publications
In database
- Low-dimensional criticality embedded in high-dimensional awake brain dynamics
- Low dimensional criticality embedded in high dimensional awake brain dynamics
Delaney M Selb
Virginia Commonwealth University (US)
2 shared publications
- Coding odor modality in piriform cortex efficiently with low-dimensional subspaces: a Shared Covariance Decoding approach
- Coding odor modality in piriform cortex efficiently with low-dimensional subspaces: a shared covariance decoding approach
Woodrow Shew
University of Arkansas at Fayetteville
2 shared publications
In database
- High density multi-electrode array electrophysiology in awake animals
- When Random Variation Results in Functional Segregation
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