Results 1 to 10 of about 46,881 (221)

Neurogenesis Drives Stimulus Decorrelation in a Model of the Olfactory Bulb [PDF]

, 2012
The reshaping and decorrelation of similar activity patterns by neuronal networks can enhance their discriminability, storage, and retrieval. How can such networks learn to decorrelate new complex patterns, as they arise in the olfactory system? Using a computational network model for the dominant neural populations of the olfactory bulb we show that ...
A Arevian, A Fantana, A Mouret, A Mouret, A Sahay, AM McNamara, B Johnson, B Winner, Boris S. Gutkin, C Linster, C Rochefort, CW Lin, D Chaudhury, D Rinberg, D Wilson, DA Wilson, DJ Heeger, E Yaksi, F David, F Kermen, F Lazarini, F Lazarini, GA Cecchi, GK Mak, GK Mak, GM Shepherd, Hermann Riecke, I Imayoshi, I Ortega-Perez, J Ninkovic, JT Davie, L Belnoue, L Petreanu, LM Kay, M Alonso, M Satou, M Valley, M Whitman, M Yamaguchi, MC Whitman, MD Döbrössy, MM Moreno, MT Wiechert, N Kaneko, N Mandairon, N Mandairon, N Mandairon, N Mandairon, N Mandairon, N Mandairon, N Miwa, O Escanilla, P Panzanelli, PA Brennan, PE Castillo, PM Lledo, Q Nai, R Pressler, RE Dolmetsch, RW Friedrich, RW Friedrich, S Sultan, S Sultan, S Sultan, S Wick, Siu-Fai Chow, SR Olsen, SS Magavi, Stuart D. Wick, SW Kuffler, SX Luo, T Shingo, TA Cleland, TA Cleland, TB Woolf, TK Yokoyama, V Breton-Provencher, V Egger, V Egger, W Kelsch, W Kim, Y Gao   +81 more
arxiv   +8 more sources

Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end [PDF]

, 2023
Gas concentration detection is important for applications such as gas leakage monitoring. Metal Oxide (MOx) sensors show high sensitivities for specific gases, which makes them particularly useful for such monitoring applications. However, how to efficiently sample and further process the sensor responses remains an open question.
arxiv   +1 more source

Stochastic mechanism for improving selectivity of olfactory projection neurons [PDF]

Neurophysiology (2019) 51: 152-159, 2019
A mechanism is proposed for increasing selectivity of olfactory bulb projection neurons as compared to the olfactory receptor neurons, which could operate under low odor concentration, when the lateral inhibition mechanism becomes inefficient. The mechanism proposed is based on the threshold-type reaction to stimuli a projection neuron receives from ...
arxiv   +1 more source

Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI [PDF]

, 2021
The neuroimage analysis community has neglected the automated segmentation of the olfactory bulb (OB) despite its crucial role in olfactory function. The lack of an automatic processing method for the OB can be explained by its challenging properties.
arxiv   +1 more source

Rapid online learning and robust recall in a neuromorphic olfactory circuit [PDF]

Nature Machine Intelligence 2 (2020): 181-191, 2019
We present a neural algorithm for the rapid online learning and identification of odorant samples under noise, based on the architecture of the mammalian olfactory bulb and implemented on the Intel Loihi neuromorphic system. As with biological olfaction, the spike timing-based algorithm utilizes distributed, event-driven computations and rapid (one ...
arxiv   +1 more source

Normalized neural representations of natural odors [PDF]

, 2016
The olfactory system removes correlations in natural odors using a network of inhibitory neurons in the olfactory bulb. It has been proposed that this network integrates the response from all olfactory receptors and inhibits them equally. However, how such global inhibition influences the neural representations of odors is unclear.
arxiv   +1 more source

Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit [PDF]

arXiv, 2023
Neuromorphic computing is one of the few current approaches that have the potential to significantly reduce power consumption in Machine Learning and Artificial Intelligence. Imam & Cleland presented an odour-learning algorithm that runs on a neuromorphic architecture and is inspired by circuits described in the mammalian olfactory bulb.
arxiv  

Odor recognition and segmentation by a model olfactory bulb and cortex [PDF]

Network: Computation in Neural Systems 11, 83-102 (2000), 2000
We present a model of an olfactory system that performs odor segmentation. Based on the anatomy and physiology of natural olfactory systems, it consists of a pair of coupled modules, bulb and cortex. The bulb encodes the odor inputs as oscillating patterns.
arxiv  

Sparse incomplete representations: A novel role for olfactory granule cells [PDF]

arXiv, 2010
Mitral cells of the olfactory bulb form sparse representations of the odorants and transmit this information to the cortex. The olfactory code carried by the mitral cells is sparser than the inputs that they receive. In this study we analyze the mechanisms and functional significance of sparse olfactory codes.
arxiv  

Mathematical Modelling of Neuroblast Chemotaxis Migration towards the Olfactory Bulb [PDF]

arXiv, 2022
This article is devoted to the mathematical modeling of migration of neuroblasts, precursor cells of neurons, along the pathway they usually follow before maturing. This pathway is determined mainly by chemotaxis and the heterogeneous mobility of neuroblasts in different regions of the brain.
arxiv