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Sensory adaptation
Adaptation occurs in a variety of forms in all sensory systems, motivating the question: what
is its purpose? A productive approach has been to hypothesize that adaptation helps neural …
is its purpose? A productive approach has been to hypothesize that adaptation helps neural …
Rapid sensory adaptation redux: a circuit perspective
Adaptation is fundamental to life. All organisms adapt over timescales that span from
evolution to generations and lifetimes to moment-by-moment interactions. The nervous …
evolution to generations and lifetimes to moment-by-moment interactions. The nervous …
Fractional differentiation by neocortical pyramidal neurons
Neural systems adapt to changes in stimulus statistics. However, it is not known how stimuli
with complex temporal dynamics drive the dynamics of adaptation and the resulting firing …
with complex temporal dynamics drive the dynamics of adaptation and the resulting firing …
A phenomenological model of the synapse between the inner hair cell and auditory nerve: long-term adaptation with power-law dynamics
There is growing evidence that the dynamics of biological systems that appear to be
exponential over short time courses are in some cases better described over the long-term …
exponential over short time courses are in some cases better described over the long-term …
From spiking neuron models to linear-nonlinear models
Neurons transform time-varying inputs into action potentials emitted stochastically at a time
dependent rate. The map** from current input to output firing rate is often represented with …
dependent rate. The map** from current input to output firing rate is often represented with …
Temporal whitening by power-law adaptation in neocortical neurons
Spike-frequency adaptation (SFA) is widespread in the CNS, but its function remains
unclear. In neocortical pyramidal neurons, adaptation manifests itself by an increase in the …
unclear. In neocortical pyramidal neurons, adaptation manifests itself by an increase in the …
A neuronal least-action principle for real-time learning in cortical circuits
One of the most fundamental laws of physics is the principle of least action. Motivated by its
predictive power, we introduce a neuronal least-action principle for cortical processing of …
predictive power, we introduce a neuronal least-action principle for cortical processing of …
Dynamics of multistable states during ongoing and evoked cortical activity
Single-trial analyses of ensemble activity in alert animals demonstrate that cortical circuits
dynamics evolve through temporal sequences of metastable states. Metastability has been …
dynamics evolve through temporal sequences of metastable states. Metastability has been …
Stimuli reduce the dimensionality of cortical activity
The activity of ensembles of simultaneously recorded neurons can be represented as a set
of points in the space of firing rates. Even though the dimension of this space is equal to the …
of points in the space of firing rates. Even though the dimension of this space is equal to the …
Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks
Recurrently coupled networks of inhibitory neurons robustly generate oscillations in the
gamma band. Nonetheless, the corresponding Wilson-Cowan type firing rate equation for …
gamma band. Nonetheless, the corresponding Wilson-Cowan type firing rate equation for …