Europhysics Letters (EPL) · 1993 · 303 citations · 15 references
Life SciencesBiophysicsNeuroscienceCellular NeuroscienceComputational NeuroscienceSystems NeuroscienceNeural Circuit DynamicsNeural Circuit ModelingNeural CircuitsNeural ExcitabilityNeuronal DynamicsSynaptic TransmissionEffective InteractionsHodgkin-huxley ModelsNeuronal Network DynamicsNeuronal OscillationsNeuronal SynchronizationPhase LockingSynchronization In Neural Networks
These dynamics may significantly affect network behavior. Hodgkin–Huxley neurons coupled by weak excitatory interactions are studied via phase reduction, yielding an effective phase interaction that encapsulates coupling and synchronization. Analytically, excitatory coupling can produce effective inhibition, reducing firing rates, and two-neuron systems show bistability and out-of-phase locking.
Hodgkin-Huxley model neurons coupled by weak excitatory interactions are studied by a phase reduction technique. All the information about the coupling between the neurons and their synchronization is then contained in an effective interaction between their phases. One shows analytically that an excitatory coupling can result in an effective inhibition between the neurons reducing their firing rates. Systems of two neurons exhibit bistability and out-of-phase locking. It is suggested that these features may have significant consequences for networks.
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Vincent P. Calabrese · JAMA · 1992 · 2.5K citations
A neural cocktail-party processor
C. von der Malsburg, W. Schneider · Biological Cybernetics · 1986 · 1.1K citations
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