Negative feedback

…appropriate behavior can lead to negative feedback. Surprising negative feedback – failure to receive a reward when strongly expected – may signal a change in the environment and the need to adjust action plans. Thus, processes that compute confidence and detect feedback at the timescale of individual decisions should interact with slower processes that infer environment changes. The neural mechanisms that underlie these hierarchical decisions r

…flexibility and how positive and negative feedbacks influence decision making, both in healthy subjects and in patients with a wide range of neurological conditions like Autistic Spectrum Disorder and Schizophrenia, as well as animal models. We trained C57BL/6 mice on PRL and conducted high-density single unit reco

Animals can switch rapidly between multiple well-learned tasks without being explicitly instructed on which task to perform, a cognitive function termed un-cued task switching. This function relies on higher-order cortical areas to maintain and update the task rule representation, and use this representation to gate the sensorimotor pathway. How different brain regions and neuronal types interact to achieve this function is not well understood. We investigated a collection of modular recurrent neural networks (RNNs) trained to perform an analog of the Wisconsin Card Sorting Test (WCST), a clas

The superior colliculus (SC) is a major recipient of visual input in the mouse and controls innate approach and avoidance behaviours. Neurons in the superficial SC (sSC), which receives direct input from the retina, do not only process visual stimuli, but are also modulated by the animal’s running speed and pupil-linked arousal, similar to modulations observed in the primary visual cortex. While these observations were made during passive viewing of visual stimuli, a major purpose of vision is to guide behaviour. We therefore asked whether, in the context of a behavioural task, visual activity

Neural systems are remarkably robust against various perturbations, a phenomenon that still requires a clear explanation. Here, we graphically illustrate how neural networks can become robust. We study spiking networks that generate low-dimensional representations, and we show that the neurons’ subthreshold voltages are confined to a convex region in a lower-dimensional voltage subspace, which we call a ‘bounding box.’ Any changes in network parameters (such as number of neurons, dimensionality of inputs, firing thresholds, synaptic weights, or transmission delays) can all be understood as def

…Response to positive feedback from olfactory interactions depends on the risk of water loss, mediated by dopa