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  • recognition
  • The fabricated elements were characterized experimentally and used in the HT processor, demonstrating practical application examples as real-time straight line, ellipse, circle detection, and other pattern recognition tasks. (spie.org)
  • This article addresses the development and progress in the rapidly growing area of optical pattern recognition. (spie.org)
  • and those in which feedback signals occur between multiple processing layers, such as occurs when bottom-up adaptive filters activate learned recognition categories and top-down learned expectations focus attention on expected patterns of critical features and thereby modulate both types of learning. (scholarpedia.org)
  • Widrow (1962) drew inspiration from the brain to introduce the gradient descent Adeline adaptive pattern recognition machine. (scholarpedia.org)
  • Anderson (1968) initially described his intuitions about neural pattern recognition using a spatial cross-correlation function. (scholarpedia.org)
  • A Speaker Recognition System Based on an Auditory Model and Neural Nets: Performance at Different Levels of Sound Pressure and of Gaussian White Noise. (meta-guide.com)
  • We extended these design principles in an automated search over thousands of model architectures, which identified novel local recurrent cells and long-range feedback connections useful for object recognition. (arxiv.org)
  • Since 2009, our Deep Learning team has won 9 (nine) first prizes in important and highly competitive international pattern recognition competitions (with secret test set known only to the organisers), far more than any other team. (idsia.ch)
  • classification
  • Our neural nets also were the first Very Deep Learners to win such contests (e.g., on classification, object detection, segmentation), and the first machine learning methods to reach superhuman performance in such a contest. (idsia.ch)
  • mechanisms
  • Of course, any putative computational principle that differentiates between information processing with and without consciousness will necessarily be implemented by specific neural mechanisms occurring in the brain. (scholarpedia.org)
  • characterize
  • But the point is that by analyzing the relationships between neural and mental states from a point of view that amounts neither to hardcore neuroscience nor to pure phenomenology, one may hope to identify bridging principles that better characterize how particular neural states are associated with conscious processing. (scholarpedia.org)
  • In this study we use a volume-conductor model to characterize discrepancies between LFP and CSD phase-patterns, to identify the contributing factors, and to assess the effect of different electrode montages. (frontiersin.org)
  • cortical
  • More recent computational models of consciousness also fall into this category, most notably Dehaene and collagues's neural workspace model (Dehaene, Kerszberg, & Changeux, 1998) and Crick and Koch (2003)'s framework, both of which assume, albeit somewhat differently, that the emergence of consciousness depends on the occurrence of specific processes in specialized systems (e.g., specific long-distance cortico-cortical connectivity). (scholarpedia.org)
  • A central finding in such recordings is that cortical LFPs, whether ongoing, induced, or evoked, are highly organized in space and time and exhibit complex propagation patterns. (frontiersin.org)
  • signals
  • These systems translate neural activity from the brain into control signals for prosthetic devices, which can assist people with paralysis by restoring lost motor functions. (stanford.edu)
  • activity
  • An implanted neurostimulator senses and records electrocorticographic (ECoG) activity from up to 2 leads (8 contacts) and provides stimulation over those contacts when specific ECoG patterns are detected. (aesnet.org)
  • see supplementary materials for nomenclature), in the Drosophila melanogaster ellipsoid body (EB) appears to use bump-like neural activity dynamics to represent the animal's heading in visual environments and in darkness ( 16 , 17 ). (sciencemag.org)
  • Multi-electrode recordings of local field potentials (LFPs) provide the opportunity to investigate the spatiotemporal organization of neural activity on the scale of several millimeters. (frontiersin.org)
  • Robust
  • Our neuroengineering research investigates the design of high-performance and robust neural prostheses. (stanford.edu)
  • model
  • The presented model is a discrete-time, continuous-state Hopfield neural network and the states of the model are updated synchronously. (hindawi.com)
  • brain
  • This kind of system, modeled on the human brain, can take in huge piles of data and find patterns. (theatlantic.com)
  • Neural prostheses are also known as brain-computer interfaces (BCIs) and brain-machine interfaces (BMIs). (stanford.edu)
  • Processing
  • In contrast to current efforts to identify the "neural correlates of consciousness", this perspective on the problem of consciousness is thus focused more specifically on identifying the computational principles that differentiate between information processing with and without consciousness rather than on identifying and localizing their neural underpinnings. (scholarpedia.org)
  • I am currently involved in a number projects that are aimed at creating and exploring neural-based processing systems. (stanford.edu)
  • In particular, the phases of oscillatory LFPs allow studying the coordination of neural oscillations in time and space and to tie it to cognitive processing. (frontiersin.org)
  • deep
  • Advances in deep learning have enabled computers to learn complex patterns directly from data. (aesnet.org)
  • A knowledge graph is traversed by receiving a knowledge graph at a deep neural network, the knowledge graph including a plurality of nodes connected by a. (patents.com)
  • novel
  • Here we present a novel, alternative account of associative learning in the context of classical conditioning, demonstrating that it is an emergent property of a spatially extended, spiking neural circuit with spike-timing dependent plasticity and short term synaptic depression. (frontiersin.org)
  • time
  • We showed analytically and checked numerically that time-scale invariance emerges from the neural noise. (royalsocietypublishing.org)
  • Top: Visual pattern at sample time points. (sciencemag.org)
  • The values in hidden state are used to diagnose the seizure by locating the pattern using the extracted features of time window. (springer.com)
  • Then at a later time when the system is presented with a stimulus that partially matches one of the stored patterns (i.e. vision or audition of an action alone) the associated motor command representation is retrieved automatically. (scholarpedia.org)
  • sequences
  • We show that both the conditioned and unconditioned stimuli can be represented by spike sequences which are produced by wave patterns propagating through the network, and that the interactions of these sequences are timing-dependent. (frontiersin.org)
  • system
  • Concepts from linear system theory were adapted to represent some aspects of neural dynamics, including solutions of simultaneous linear equations \(Y = AX\) using matrix theory, and concepts about cross-correlation. (scholarpedia.org)
  • One embodiment of the invention provides a system for mapping a neural network onto a neurosynaptic substrate. (patents.com)