Rodents are emerging as increasingly popular models of visual functions. Yet, evidence that rodent cortex is capable advanced processing, such object recognition, limited. Here we investigate how neurons located along the progression extrastriate areas that, in rat brain, run laterally to primary cortex, encode information. We found a progressive functional specialization neural responses these areas, with: (1) sharp reduction amount low-level, energy-related information encoded by neuronal...

Cognition is remarkably flexible; we are able to rapidly learn and perform many different tasks

Successful use of rodents as models for studying object vision crucially depends on the ability their visual system to construct representations objects that tolerate (i.e., remain relatively unchanged with respect to) tremendous changes in appearance produced, instance, by size and viewpoint variation. Whether this is case still controversial, despite some recent demonstration transformation-tolerant recognition rats. In fact, it remains unknown what extent such a tolerant has spontaneous,...

Many laboratories use two-photon microscopy through commercial suppliers, or homemade designs of considerable complexity. The integrated nature these systems complicates customization, troubleshooting, and training on the principles microscopy. Here, we present “Twinkle”: a microscope for Two-photon Imaging in Neuroscience, Kit Learning Education. It is fully open, high performing easy-to-set-up that can effectively be used both education research. instrument features >1 mm field view,...

Abstract Cognition is flexible. Behaviors can change on a moment-by-moment basis. Such flexibility thought to rely the brain’s ability route information through different networks of brain regions in order support cognitive computations. However, mechanisms that determine which network engaged are unknown. To address this, we combined cortex-wide calcium imaging with high-density electrophysiological recordings eight cortical and subcortical mice. Different dimensions within population...

Stimulation of neural activity is an important scientific and clinical tool, causally testing hypotheses treating neurodegenerative neuropsychiatric diseases. However, current stimulation approaches cannot flexibly control the pattern in populations neurons. To address this, we developed a model-free, adaptive, closed-loop (ACLS) system that learns to use multi-site electrical population neurons.The ACLS combined multi-electrode electrophysiological recordings with simultaneously record 5-15...

Visual object recognition has been extensively studied in both neuroscience and computer vision. Recently, the most popular class of artificial systems for this task, deep convolutional neural networks (CNNs), shown to provide excellent models its functional analogue brain, ventral stream visual cortex. This prompted questions on what, if any, are common principles underlying reformatting information as it flows through a CNN or stream. Here we consider some prominent statistical patterns...

To adapt to a changing world, we must be able switch between rules already learned and, at other times, learn anew. Often do both the same time, switching known while also constantly re-estimating them. Here, show these two processes, rule and learning, rely on distinct but intertwined computations, namely fast inference slower incremental learning. this end, studied how monkeys switched three rules. Each was compositional, requiring animal discriminate one of features stimulus then respond...

Neural system that controls movement and posture is a highly nonlinear complex system. Its adaptability easy accommodation to changes in environment task specifications make it an ideal In this paper, the muscle control from spinal cord displacement has been studied. At first, detailed model simulated Simulink based on already developed work. Then, three identification techniques are examined estimate behavior of The first one popular linear ARX model. modeled by NARX neural network...

Abstract Stimulation of neural activity is an important scientific and clinical tool, causally testing hypotheses treating neurodegenerative neuropsychiatric diseases. However, current stimulation approaches cannot flexibly control the pattern in populations neurons. To address this, we developed adaptive, closed-loop (ACLS) system that uses patterned, multi-site electrical to a population Importantly, ACLS learning system; it monitors response iteratively updates produce specific response....

Many laboratories use two-photon microscopy through commercial suppliers, or homemade designs of considerable complexity. The integrated nature these systems complicates customization, troubleshooting as well grasping the principles microscopy. Here, we present "Twinkle": a microscope for Two-photon Imaging in Neuroscience, and Kit Learning Education. It is fully open, high-performance cost-effective research teaching without any custom parts beyond what can be fabricated university machine...

OBJECTIVE: To compare the cumulative effect of seizure control and Medial Temporal Lobe (MTL) resection on face recognition between patients with right-sided temporal lobe epilepsy (TLE) left-sided TLE. BACKGROUND: Verbal non-verbal episodic memories are hypothesized to be mediated through left right medial structures, respectively. However, controversy exists about role in visual memory particularly recognition. Recognition could form recollection (remembering details) or familiarity...

Dynamical systems theory has helped brain scientists to cope better with complexity. In this paper, we proposed a novel approach include uncertainty in dynamical system describing function such as one neuron or coupled neurons. Fuzzy represented by set of fuzzy differential inclusions (FDI) are very convenient tools for modeling and simulation various uncertain systems. We used inclusion neural responses several types showed that our results similar real experimental data showing variability...