Wavesurfer janelia1/30/2024 ![]() loadDataFile( filename = 'path/to/file.h5', format_string = 'double' ) K.From pywavesurfer import ws # to get analog channels scaled in float64 : data_as_dict = ws. Distinct neural mechanisms of distractor suppression in the frontal and parietal lobe. Rat prefrontal cortex inactivations during decision making are explained by bistable attractor dynamics. Cortical and subcortical contributions to short-term memory for orienting movements. Attractor dynamics in the hippocampal representation of the local environment. Retrospective and prospective coding for predicted reward in the sensory thalamus. A representation of the hazard rate of elapsed time in macaque area LIP. Nonlinear Dynamics and Chaos: with Applications to Physics, Biology, Chemistry, and Engineering (Addison-Wesley, Boston, 1994). Neural variability in premotor cortex provides a signature of motor preparation. Fundamental limits on persistent activity in networks of noisy neurons. Variance as a signature of neural computations during decision making. A model of visuospatial working memory in prefrontal cortex: recurrent network and cellular bistability. Direct measurement of somatic voltage clamp errors in central neurons. In vivo intracellular recording and perturbation of persistent activity in a neural integrator. The contribution of noise to contrast invariance of orientation tuning in cat visual cortex. Ring attractor dynamics in the Drosophila central brain. Graded persistent activity in entorhinal cortex neurons. Bistability of cerebellar Purkinje cells modulated by sensory stimulation. Theory of orientation tuning in visual cortex. Learning patterns and pattern sequences by self-organizing nets of threshold elements. ![]() Neural networks and physical systems with emergent collective computational abilities. Flexible control of mutual inhibition: a neural model of two-interval discrimination. Basic mechanisms for graded persistent activity: discrete attractors, continuous attractors, and dynamic representations. A proposed neural network for the integrator of the oculomotor system. Mechanisms of persistent activity in cortical circuits: possible neural substrates for working memory. Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Memory without feedback in a neural network. Synaptic reverberation underlying mnemonic persistent activity. Balanced cortical microcircuitry for maintaining information in working memory. Foundations of Cellular Neurophysiology (MIT Press, Cambridge, 1995).Ĭhaudhuri, R. A cortico-cerebellar loop for motor planning. Maintenance of persistent activity in a frontal thalamocortical loop. Robust neuronal dynamics in premotor cortex during motor planning. Neural mechanisms of movement planning: motor cortex and beyond. Low-dimensional and monotonic preparatory activity in mouse anterior lateral motor cortex. Cortical control of arm movements: a dynamical systems perspective. A cortical substrate for memory-guided orienting in the rat. Flow of cortical activity underlying a tactile decision in mice. A cognitive signal for the proactive timing of action in macaque LIP. Neuronal correlates of parametric working memory in the prefrontal cortex. Mnemonic coding of visual space in the monkey’s dorsolateral prefrontal cortex. Anticipatory activity of motor cortex neurons in relation to direction of an intended movement. Prefrontal cortical unit activity and delayed alternation performance in monkeys. Our results show that discrete attractor dynamics underlie short-term memory related to motor planning. Perturbations occasionally switched the population dynamics to the other end point, followed by incorrect actions. These end points were robust to transient shifts in ALM activity caused by optogenetic perturbations. ![]() We show that during the delay epoch, the activity of ALM neurons moved towards discrete end points that correspond to specific movement directions. To determine the principles that underlie this persistent activity, here we combined intracellular and extracellular electrophysiology with optogenetic perturbations and network modelling. In a delayed response task that requires short-term memory, neurons in the mouse anterior lateral motor cortex (ALM) show persistent activity that instructs future actions. Short-term memories are correlated with slow neural dynamics, including selective persistent activity, which can be maintained over seconds. Short-term memories link events separated in time, such as past sensation and future actions.
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