It is shown that feed-forward inhibition makes the output more precise when all events or when only single spikes are taken into account, but not if the analysis is restricted to bursts, which is more versatile than feedback inhibition in shaping the computation in a microcircuit.
The results suggest that tuft spikes may be particularly driven by inputs from neurons that are both embedded in sparse subnetworks and synchronized through coupling to larger-scale functional networks.
Jacob Gable, Zachary L. Newman, Sarah Young et al.· Journal of Neuroscience· 1 citation
Determining the amount of information a neuron receives per unit of time is key to understanding brain connectivity and how neural networks encode and transmit information. In particular, estimating this information flow by distinguishing between excitatory and inhibitory synaptic contributions is critical to understan...
R. M. Delicado-Moll, A. Guillamón, A. E. Teruel et al.· bioRxiv· 0 citations
Sprouts were seen to emerge from the very proximal portion of axons suggesting that an AcD cell starts out as a ‘dendrite-carrying axon’ (DcA) cell, and the formation of basal AcD was influenced by neuronal activity.
David Bietz, Burak Ceylan, Andrea Räk et al.· Brain Structure and Function· 0 citations
This work shows that DRN 5-HT neurons exhibit separable spiking representations of two major excitatory inputs-those from the lateral habenula and the medial prefrontal cortex and confirms that this emergent population spike synchrony code provides a means for the DRN to widely broadcast these streams as a multiplexed...
M. Lynn, Leonard Maler, Jean-Claude Béïque· Cell Reports· 0 citations
A stochastic two-compartment Hodgkin–Huxley type model is developed, consisting of a soma and an axon initial segment, to investigate the effects of synaptic noise and intrinsic electrical properties of spPVINs in driving their spontaneous firing and demonstrate how intrinsic electrical properties of spPVINs shape thei...
Rian Fritz D. Jalandoni, Christopher Todrineau, Hao-Yi Qiu et al.· bioRxiv· 0 citations
Insight is provided into the mechanisms underlying cortical plasticity and translational promise for modulating maladaptive plasticity in the brain by showing that adaptation modifies E/I balance in mouse V1 promoting a new equilibrium.