A transient-detecting very large scale integration (VLSI) pixel is described, suitable for use in a visual-processing, depth-recovery algorithm based upon spike timing. A small array of pixels is coupled to an adaptive system, based upon spike timing dependent plasticity (STDP), that aims to reduce the effect of VLSI process variations on the algorithm's performance. Results from 0.35 microm CMOS temporal differentiating pixels and STDP circuits show that the system is capable of adapting to substantially reduce the effects of process variations without interrupting the algorithm's natural processes. The concept is generic to all spike timing driven processing algorithms in a VLSI.
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http://dx.doi.org/10.1109/TNN.2005.852238 | DOI Listing |
ACS Appl Bio Mater
January 2025
Unconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.
This study examines the relationship between chondroitin sulfate, proteinoids, and computational neuron models, with a specific emphasis on the Izhikevich neuron model. We investigate the effect of chondroitin sulfate-proteinoid complexes on the behavior and dynamics of simulated neurons. Through the use of computational simulations, we provide evidence that these biomolecular components have the power to regulate the responsiveness of neurons, the patterns of their firing, and the ability of their synapses to change within the Izhikevich architecture.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Department of Electronics and Communication Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India.
Background: Anxiety is a psycho-physiological condition associated with an individual's mental state. Long-term anxiety persistence can lead to anxiety disorder, which is the underlying cause of many mental health problems. As such, it is critical to precisely identify anxiety by automated, effective, and user-bias-free ways.
View Article and Find Full Text PDFFront Syst Neurosci
December 2024
Universidade Federal de Goias, School of Electrical, Mechanical and Computer Engineering, Goiânia, Brazil.
Dysfunction in fear and stress responses is intrinsically linked to various neurological diseases, including anxiety disorders, depression, and Post-Traumatic Stress Disorder. Previous studies using in vivo models with Immediate-Extinction Deficit (IED) and Stress Enhanced Fear Learning (SEFL) protocols have provided valuable insights into these mechanisms and aided the development of new therapeutic approaches. However, assessing these dysfunctions in animal subjects using IED and SEFL protocols can cause significant pain and suffering.
View Article and Find Full Text PDFCells
December 2024
Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, and Brain Health), Institute of Mental Health and Drug Discovery, School of Mental Health, Wenzhou Medical University, Ouhai District, Wenzhou 325000, China.
Background: glucocorticoids may play an important role in the formation of fear memory, which is relevant to the neurobiology of post-traumatic stress disorder (PTSD). In our previous study, we showed the glucocorticoid receptor (GR) forms a protein complex with FKBP51, which prevents translocation of GR into the nucleus to affect gene expression; this complex is elevated in PTSD patients and by fear-conditioned learning in mice, and disrupting this complex blocks the storage and retrieval of fear-conditioned memories. The timing of release of glucocorticoid relative to the formation of a traumatic memory could be important in this process, and remains poorly understood.
View Article and Find Full Text PDFSci Rep
January 2025
School of Biological Sciences, Georgia Institute of Technology, 315 Ferst Dr NW, Atlanta, 30332-0535, GA, USA.
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