AbstractWhat types of computations are performed on synaptic inputs within the dendritic trees of single neurons? In this issue of Neuron, Poirazi et al. (2003a, 2003b) present a systematic method to reduce complex, biophysically realistic neuron models to more tractable, simplified two-layered neural networks that could shed some light on this issue
Burst firing of substantia nigra dopamine (SN DA) neurons is believed to represent an important teac...
Pyramidal neurons in the mouse neocortex develop elaborate dendritic compartments that integrate sig...
Experimental methods in neuroscience, such as calcium-imaging and recordings with multi-electrode ar...
AbstractWhat types of computations are performed on synaptic inputs within the dendritic trees of si...
Dendrites integrate inputs nonlinearly, but it is unclear how these nonlinearities contribute to the...
Are single neocortical neurons as powerful as multi-layered networks? A recent compartmental modeli...
A major challenge in neuroscience is to reverse engineer the brain and understand its information pr...
A deeper understanding is required of how a single neuron utilizes its nonlinear subcellular devices...
SummaryTo understand fine-scale structure and function of single mammalian neuronal networks, we dev...
The electric activities of cortical pyramidal neurons are supported by structurally stable, morpholo...
The decade of the brain may have come and gone, but the final frontier, cracking the neuronal code, ...
AbstractThe pyramidal neuron is the principal cell type in the mammalian forebrain, but its function...
Using computational models of motor neuron ion fluxes, firing properties, and energy requirements, L...
Neurons are spatially extended structures that receive and process inputs on their dendrites. It is ...
SummaryTo understand computations in neuronal circuits, a model of a small patch of cortex has been ...
Burst firing of substantia nigra dopamine (SN DA) neurons is believed to represent an important teac...
Pyramidal neurons in the mouse neocortex develop elaborate dendritic compartments that integrate sig...
Experimental methods in neuroscience, such as calcium-imaging and recordings with multi-electrode ar...
AbstractWhat types of computations are performed on synaptic inputs within the dendritic trees of si...
Dendrites integrate inputs nonlinearly, but it is unclear how these nonlinearities contribute to the...
Are single neocortical neurons as powerful as multi-layered networks? A recent compartmental modeli...
A major challenge in neuroscience is to reverse engineer the brain and understand its information pr...
A deeper understanding is required of how a single neuron utilizes its nonlinear subcellular devices...
SummaryTo understand fine-scale structure and function of single mammalian neuronal networks, we dev...
The electric activities of cortical pyramidal neurons are supported by structurally stable, morpholo...
The decade of the brain may have come and gone, but the final frontier, cracking the neuronal code, ...
AbstractThe pyramidal neuron is the principal cell type in the mammalian forebrain, but its function...
Using computational models of motor neuron ion fluxes, firing properties, and energy requirements, L...
Neurons are spatially extended structures that receive and process inputs on their dendrites. It is ...
SummaryTo understand computations in neuronal circuits, a model of a small patch of cortex has been ...
Burst firing of substantia nigra dopamine (SN DA) neurons is believed to represent an important teac...
Pyramidal neurons in the mouse neocortex develop elaborate dendritic compartments that integrate sig...
Experimental methods in neuroscience, such as calcium-imaging and recordings with multi-electrode ar...
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