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Nonlinear dynamical modeling of single neurons and its application to analysis of long-term potentiation (LTP)
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Nonlinear modeling of causal interrelationships in neuronal ensembles: an application to the rat hippocampus
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Excitatory-inhibitory interactions in pyramidal neurons
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Molecular diversity of neurons in developing and mature brain circuits
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Bridging performance gaps by occupancy and weather data-driven energy prediction modeling using neural networks
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Dynamic functional magnetic resonance imaging to localize activated neurons
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Learning distributed representations from network data and human navigation
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Network structures: graph theory, statistics, and neuroscience applications
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A million-plus neuron model of the hippocampal dentate gyrus: role of topography, inhibitory interneurons, and excitatory associational circuitry in determining spatio-temporal dynamics of granul...
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Using artificial neural networks to estimate evolutionary parameters
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Modeling SynGAP1 truncating mutations in neurodevelopmental disease using iPSC-derived neurons
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Computational investigation of glutamatergic synaptic dynamics: role of ionotropic receptor distribution and astrocytic modulation of neuronal spike timing
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Learning invariant features in modulatory neural networks through conflict and ambiguity
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Functional consequences of network architecture in rat hippocampus: a computational study
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Nonlinear models for hippocampal synapses for multi-scale modeling
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Modeling the integration of salamander vision and behavior
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Recurrent neural networks with tunable activation functions to solve Sylvester equation
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Simulating electrical stimulation and recording in a multi-scale model of the hippocampus
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Cultured neuronal cells derived from the olfactory neuroepithelium growing in three dimensions as a model system for schizophrenia
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Modeling the mirror system in action observation and execution
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Neuron unit arrays and nature/nurture adaptation for photonic multichip modules
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Exploiting side information for link setup and maintenance in next generation wireless networks
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Learning lists and gestural signs: dyadic brain models of non-human primates
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Aggregation and modeling using computational intelligence techniques
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Learning in dynamic synapse neural networks
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