A5102926058- Neuroscience and Neuropharmacology Research
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Advanced Memory and Neural Computing
- Neuroinflammation and Neurodegeneration Mechanisms
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Sleep and Wakefulness Research
- Atmospheric chemistry and aerosols
- Air Quality Monitoring and Forecasting
- Environmental Toxicology and Ecotoxicology
- Air Quality and Health Impacts
- Advanced Statistical Process Monitoring
- Toxic Organic Pollutants Impact
- Zebrafish Biomedical Research Applications
- Advanced Statistical Methods and Models
- Optimal Experimental Design Methods
Boston University
2018-2020
Center for Systems Biology
2019
Rutgers, The State University of New Jersey
2005-2014
New York University
2014
Center for Molecular Medicine and Immunology
2012
University of Virginia Health System
2002-2004
University of Virginia
2002-2004
Neurological Surgery
2002
A major challenge in neuroscience is linking behavior to the collective activity of neural assemblies. Understanding input-output relationships neurons and circuits requires methods with spatial selectivity temporal resolution appropriate for mechanistic analysis ensembles behaving animal, i.e. recording representatively large samples isolated single neurons. Ensemble monitoring neuronal has progressed remarkably past decade both small large-brained animals, including human subjects1-11....
Several network patterns allow for information exchange between the neocortex and entorhinal–hippocampal complex, including theta oscillations sleep spindles. How neurons are organized in these respective is not well understood. We examined cellular–synaptic generation of spindles waking rat during rapid eye movement (REM) by simultaneously recording local field spikes regions layers hippocampus entorhinal cortex (EC). show following: (1) current source density analysis reveals that similar...
Abstract Trajectory-dependent splitter neurons in the hippocampus encode information about a rodent’s prior trajectory during performance of continuous alternation task. As such, they provide valuable for supporting memory-guided behavior. Here, we employed single-photon calcium imaging freely moving mice to investigate emergence and fate trajectory-dependent activity through learning mastery spatial In agreement with others, quality hippocampal correlated task performance. We thus...
The population of hippocampal neurons actively coding space continually changes across days as mice repeatedly perform tasks. Many place cells become inactive while other previously silent active, challenging the idea that stable behaviors and memory representations are supported by patterns neural activity. Active cell replacement may disambiguate unique episodes contain overlapping cues, could contribute to reorganization representations. How active affects evolution different within a...
A major challenge in neuroscience is linking behavior to the collective activity of neural assemblies. Understanding input-output relationships neurons and circuits requires methods with spatial selectivity temporal resolution appropriate for mechanistic analysis ensembles behaving animal, i.e. recording representatively large samples isolated single neurons. Ensemble monitoring neuronal has progressed remarkably past decade both small large-brained animals, including human subjects1-11....
Background Synapses exhibit strikingly different forms of plasticity over a wide range time scales, from milliseconds to hours. Studies on synaptic typically use constant-frequency stimulation activate synapses, whereas in vivo activity neurons is irregular. Methodology/Principal Findings Using extracellular and whole-cell electrophysiological recordings, we have here studied the responses at hippocampal mossy fiber synapses vitro stimulus patterns obtained recordings place cell firing...
Randomness can be a useful component of computation. Using computationally minimal, but still biologically based model the hippocampus, we evaluate effects initial state randomization on learning cognitive problem that requires this brain structure. Greater randomness states leads to more robust performance in simulations task called transverse patterning, context-dependent discrimination code as sequence prediction problem. At conclusion training, greater during training trials also...
Despite the fact that animals are not optimal, natural selection is an optimizing process can readily control small bits and pieces of organisms. It for this reason we need to explain certain parameters as found in Nature (e.g., number neurons their average activity) fully understand biological basis cognition. In sense, failure quantal synaptic transmission problematic because incurs information loss at each synapse which seems like a bad thing processing. However, recent work based on...
In recurrent neural networks, excessive activity oscillations can be very disruptive to successful learning performance. Inhibitory feedback used offset a dominating positive feedback; however, synaptic modification at excitatory synapses would seem require inhibitory if is controlled during training. Here, we present novel rule that governs the strength of afferents (inputs) controlling interneurons. A hippocampal CA3 model incorporating this avoid certain performance destroying...
Despite the fact that animals are not optimal, natural selection is an optimizing process can readily control small bits and pieces of organisms. It for this reason we need to explain certain parameters as found in Nature (e.g., number neurons their average activity) fully understand biological basis cognition. In sense, failure quantal synaptic transmission problematic because incurs information loss at each synapse which seems like a bad thing processing. However, recent work based on...
This paper develops two extensions of the Gupta-Santner restricted subset selection procedure. The (exact) procedure RE screens a set k normal populations with unknown and unequal variances using independent random sampling within each alternative population in order to select final at most m alternatives; least favorable configuration means, there is minimal probability P* that selected includes largest mean. simulation-oriented (heuristic) RS similarly covariance stationary processes...
Abstract The population of hippocampal neurons actively coding space continually changes across days as mice repeatedly perform tasks. Many place cells become inactive while other previously silent active, challenging the belief that stable behaviors and memory representations are supported by patterns neural activity. Active cell replacement may disambiguate unique episodes contain overlapping cues, could contribute to reorganization representations. How active affects evolution different...
ABSTRACT Trajectory-dependent splitter neurons in the hippocampus encode information about a rodent’s prior trajectory during performance of continuous alternation task. As such, they provide valuable for supporting memory-guided behavior. Here, we employed single-photon calcium imaging freely moving mice to investigate emergence and fate trajectory-dependent activity through learning mastery spatial We found that quality hippocampal correlated with task performance. thus hypothesized that,...