Suchergebnisse - "cooperative coding scheme"
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1
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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3
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Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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4
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
%22">xlink "> Verfügbarkeit: https://doi.org/10.1371/journal.pcbi.1012156.s001
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5
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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6
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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7
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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8
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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9
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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10
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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11
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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12
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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13
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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14
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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15
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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16
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
%22">xlink "> Relation: https://figshare.com/articles/figure/Response_formation_and_activity_propagation_/29473000
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17
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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18
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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19
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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20
Autoren:
Schlagwörter: Cell Biology, Neuroscience, Infectious Diseases, Biological Sciences not elsewhere classified, synaptic savings increase, spike frequency adaptation, resulting connectivity optimizes, desired population code, delayed inhibitory currents, crucial constraining factor, analytically tractable model, underlying recurrent connectivity, spiking neural networks, artificial neural networks, specific recurrent connections, response speed improves, replace many feedforward, required synapses may, strong recurrent excitation, cooperative coding scheme, continuous sensory inputs, biological neural networks, recurrent connections, response speed, cooperative coding, required synapses, continuous variables, saving synapses, scheme neurons,
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