Firing rates

…On the other hand networks of firing-rate units with low-rank connectivity have universal computational capabilities, but do not work with spikes or generate noise self-consistently. Although empirical approaches to merge these two computational frameworks have been constructed, there is no established theory describing their unification. Here we develop such a theory. We study analytically and numerically networ

…not produce such slow fluctuations in firing rates, raising questions about their origin. Some theories attribute them to precise synaptic connectivity [5] according to an alternative scenario slow fluctuations in the rates result from n

Inhibitory neurons (I), akin to their excitatory (E) counterparts, adjust synaptic efficacies in response to neural activity. Contrary to the traditional view of inhibition as a purely global activity modulator, recent studies highlighted the importance of specificity in (E/I) wiring and motif structures. These motifs, encompassing mutual and lateral inhibition, take essential functional roles in tuning of receptive fields, learning of representations, predictive coding, and in the regulation of the degrees of freedom of the network’s dynamics (i.e. the network dimensionality). Despite numero

…factors extracted from either data or firing-rate-based networks. In

Path integration is an internal computation of position by integrating velocities over time. In the absence of external landmarks, path integration accumulates error, causing the internal representation of position to drift relative to the external world [1,2]. In addition to the well-established role of landmarks in correcting this error, recent experiments identified a new role of landmarks: recalibrating the path-integration gain, a factor mapping the animal’s movement through space to an updating of position in its internal representation [3]. Here, we set out to understand the mechanisms

The responses of neurons in primary visual cortex depend strongly on the spatial context in which stimuli are embedded. This context-dependence has been theorized to reflect efficient and/or predictive coding of natural scenes. Critical tests of these theories in a generic form for natural images are currently lacking , because it is unclear how predictions, and measures of predictability, should be operationalized for natural scenes. Further, it is unclear whether there is just one type or level of predictability given the hierarchical processing in the primate visual system. Here, we traine

…excitation:inhibition balance and firing rates) as well as cognitive processes (e.g. perception, memory, and behavioral state). However, the physiology underlying the 1/f power law in cortical dynamics is not well understood. Here, we compared laminar recordings from human, macaque and

…result that the distribution of firing rates is not significan

…stretching of the distribution of log firing rates of the recorded population. This phenomenon was previously observed across transitions between sleep and wakefulness,

Neural integrators are circuits that are able to code analog information such as spatial location or amplitude. Storing amplitude requires the network to have a large number of attractors. In classic models with recurrent excitation, such networks require very careful tuning to behave as integrators and are not robust to small mistuning of the recurrent weights. In this talk, I introduce a circuit with recurrent connectivity that is subjected to a slow subthreshold oscillation (such as the theta rhythm in the hippocampus). I show that such a network can robustly maintain many discrete attrac

…drop in activity and ensemble average firing rates (FRs), but over time activity is restored