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Clustering within Integrate-and-Fire Neurons for Image Segmentation [chapter]

Phill Rowcliffe, Jianfeng Feng, Hilary Buxton
2002 Lecture Notes in Computer Science  
Pixels from an image are used as scalar inputs for the network, and segmented as the oscillating neurons are clustered into synchronised groups.  ...  An algorithm is developed to produce self-organisation of a purely excitatory network of Integrate-and-Fire (IF) neurons, receiving input from a visual scene.  ...  Introduction Integrate-and-Fire neurons have been studied within the field of computer vision for some time now.  ... 
doi:10.1007/3-540-46084-5_12 fatcat:4gccqqws5jhv3nwv72wt6jsvku

A SURVEY ON COLOR IMAGE SEGMENTATION THROUGH LEAKY INTEGRATE AND FIRE MODEL OF SPIKING NEURAL NETWORKS

CHINKI CHANDHOK
2013 International Journal of Electronics and Electical Engineering  
The leaky integrate-and-fire neuron is probably the best-known example of a formal spiking neuron model.  ...  Image segmentation is the first step and also one of the most critical tasks of image analysis .Because of its simplicity and efficiency, clustering approach is used for the segmentation of (textured)  ...  This model is also known as the linear integrate-and-fire neuron. A network of leaky integrate-and-fire (LIF) neurons is being proposed to segment gray-scale images.  ... 
doi:10.47893/ijeee.2013.1080 fatcat:ntbcl3kdcbf77bxjxrsss5ldyu

Co-allocation to overlapping dendritic branches in the retrosplenial cortex integrates contextual memories across time [article]

Megha Sehgal, Daniel Almeida-Filho, Sunaina Martin, Irene Davila Mejia, George Kastellakis, Sungsoo Kim, Jinsu Lee, Asli Pekcan, Shan Huang, Ayal Lavi, Won Do Heo, Panayiota Poirazi (+2 others)
2021 bioRxiv   pre-print
Recent studies suggest that memories acquired close in time are encoded by overlapping neuronal ensembles, and that this overlap is necessary for memory linking.  ...  Using longitudinal two-photon calcium imaging of RSC dendrites, we show that the same dendritic segments are preferentially activated by two linked (but not independent) contextual memories, and that spine  ...  We found that RSC neurons maintained a similar firing rate for contexts explored within 5 hours compared to contexts explored 7 days apart (figure 1f and S2 ).  ... 
doi:10.1101/2021.10.28.466343 fatcat:t5lxeamgdvgrbd4uzvjsg6yl6e

Image Processing with Spiking Neuron Networks [chapter]

Boudjelal Meftah, Olivier Lézoray, Soni Chaturvedi, Aleefia A. Khurshid, Abdelkader Benyettou
2013 Studies in Computational Intelligence  
In this chapter, we present how SNN can be applied with efficacy in image clustering, segmentation and edge detection. Results obtained confirm the validity of the approach.  ...  Based on dynamic event-driven processing, they open up new horizons for developing models with an exponential capacity of memorizing and a strong ability to fast adaptation.  ...  [6] proposed a network of leaky integrate-and-fire neurons to segment gray-scale images.  ... 
doi:10.1007/978-3-642-29694-9_20 fatcat:r4x3i6x2pfe6nfzonbqbv7alpi

Segmentation and Edge Detection Based on Spiking Neural Network Model

B. Meftah, O. Lezoray, A. Benyettou
2010 Neural Processing Letters  
In this paper, we present how SNN can be applied with efficacy in image segmentation and edge detection. Results obtained confirm the validity of the approach.  ...  The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are present in images.  ...  [13] proposed a network of leaky integrate-and-fire neurons to segment gray-scale images.  ... 
doi:10.1007/s11063-010-9149-6 fatcat:24p6kfscg5eivefp672x3w3k4y

Distance-dependent regulation of NMDAR nanoscale organization along hippocampal neuron dendrites

Joana S. Ferreira, Julien P. Dupuis, Blanka Kellermayer, Nathan Bénac, Constance Manso, Delphine Bouchet, Florian Levet, Corey Butler, Jean-Baptiste Sibarita, Laurent Groc
2020 Proceedings of the National Academy of Sciences of the United States of America  
rules that shape their respective contributions to synaptic integration and action potential firing.  ...  Here we used superresolution imaging and single nanoparticle tracking in rat hippocampal neurons to unveil the nanoscale topography of native GluN2A- and GluN2B-NMDA receptors (NMDARs)—which play key roles  ...  rules that shape their respective contributions to synaptic integration and action potential firing.  ... 
doi:10.1073/pnas.1922477117 pmid:32929031 fatcat:vrojuz6qzvctlatpxsr4mwxecu

Whole-neuron synaptic mapping reveals local balance between excitatory and inhibitory synapse organization [article]

Daniel Maxim Iascone, Yujie Li, Uygar Sumbul, Michael Doron, Hanbo Chen, Valentine Andreu, Finola Goudy, Idan Segev, Hanchuan Peng, Franck Polleux
2018 bioRxiv   pre-print
We mapped over 90,000 E and I synapses across twelve L2/3 PNs and uncovered structured organization of E and I synapses across dendritic domains as well as within individual dendritic segments in these  ...  Computational modeling indicates that this spatially-precise E/I balance dampens dendritic voltage fluctuations and strongly impacts neuronal firing output.  ...  ACKNOWLEDGEMENTS We thank Attila Losonczy, Wes Grueber, Inbal Israeli, Larry Abbott and members of the Polleux lab for fruitful discussions.  ... 
doi:10.1101/395384 fatcat:njkjm6jhjnfflnnqez5hgock6u

A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition

Vincent de Ladurantaye, Jean Lavoie, Jocelyn Bergeron, Maxime Parenteau, Huizhong Lu, Ramin Pichevar, Jean Rouat
2012 Journal of Physics, Conference Series  
Scalability, speed and performance are compared for 2 implementations: Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA) running on clusters of multicore supercomputers and  ...  This list indexes each neuron that fires during the current simulation time so that the influence of their spikes are simultaneously processed on all computing units.  ...  Acknowledgment CRSNG, Univ. de Sherbrooke, OPAL-RT for funding the research. Vincent Tremblay Boucher, Julien Beaumier-Éthier, Alexandre Provencher and Jonathan Verdier for CUDA programming.  ... 
doi:10.1088/1742-6596/341/1/012024 fatcat:tresehkm4jesxbq4krdqecmjee

Image clustering with spiking neuron network

B. Meftah, A. Benyettou, O. Lezoray, W. QingXiang
2008 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)  
The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images.  ...  In this paper, we present how SNN can be applied with efficacy in image segmentation.  ...  Segmented images with β 0.05, β =0.5, β =0.9 and β =0.5 for α=2.3 Fig. 11 . 11 Original image . 12.a.Segmented image with spiking neuron, b.  ... 
doi:10.1109/ijcnn.2008.4633868 dblp:conf/ijcnn/MeftahBLQ08 fatcat:7lzwxryu6zhr7p2aoydlcwuwha

Dendritic organization of sensory input to cortical neurons in vivo

Hongbo Jia, Nathalie L. Rochefort, Xiaowei Chen, Arthur Konnerth
2010 Nature  
Thus, orientation-tuned neurons can compute their characteristic firing pattern by integrating spatially distributed synaptic inputs coding for multiple stimulus orientations.  ...  Here we report a novel approach for the visualization and functional mapping of sensory inputs to the dendrites of cortical neurons in vivo.  ...  Sakmann for discussions and to Y. Kovalchuk for help in the initial experiments. This work was supported by grants from the DFG (to A.K.) and the Friedrich Schiedel Foundation.  ... 
doi:10.1038/nature08947 pmid:20428163 fatcat:u5nzjxayozd3rgkrmawc7ltxqi

Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory

Adam C. Frank, Shan Huang, Miou Zhou, Amos Gdalyahu, George Kastellakis, Tawnie K. Silva, Elaine Lu, Ximiao Wen, Panayiota Poirazi, Joshua T. Trachtenberg, Alcino J. Silva
2018 Nature Communications  
These results support a hotspot model where spine turnover is the driver for localization of clustered spine formation, which serves to modulate network function, thus influencing storage capacity and  ...  future L&M performance, as well as the localization and rates of spine clustering.  ...  Wisniewski and J. Shobe for critical comments on earlier versions of this manuscript. This work was supported by grants 2RF1AG013622-21, and the Dr. Miriam and Sheldon G.  ... 
doi:10.1038/s41467-017-02751-2 pmid:29379017 pmcid:PMC5789055 fatcat:w6bfxqcm25eefan3yxtrubbivi

Automated quantification of neuronal networks and single-cell calcium dynamics using calcium imaging

Tapan P. Patel, Karen Man, Bonnie L. Firestein, David F. Meaney
2015 Journal of Neuroscience Methods  
However, a fully integrated automated workflow for the analysis and visualization of neural microcircuits from high speed fluorescence imaging data is lacking.  ...  segmentation and calcium transient event detections. • Calcium dynamics of single-cells can be used to phenotype neurons. • FluoroSNNAP enables global and local synchronization cluster analysis. • FluoroSNNAP  ...  We thank Jing Guo and Virginia M. Y. Lee (University of Pennsylvania) for providing PS19 ± neurons and 17025 antibody.  ... 
doi:10.1016/j.jneumeth.2015.01.020 pmid:25629800 pmcid:PMC5553047 fatcat:irhyivqrmbfq5g7cdv6uaa346m

Brain at work: time, sparseness and superposition principles

Stephane Molotchnikoff
2012 Frontiers in Bioscience  
These neuronal assemblies of spiking cells implement segmentation and fusion that is the integration of sensory objects' representation.  ...  But the integrate and fire spiking neuron can reproduce some of the characteristics of subsets of real neurons.  ...  That is: This relation shows that S Ext i, j is a weighted sum of is the ratio between the size of the firing cluster ψ(t,φ l ) and the total size of the synchronized neurons on layer G.  ... 
doi:10.2741/3946 pmid:22201763 fatcat:kc7uyjvi4rhsrmujmqfopylyty

Regenerated Interneurons Integrate Into Locomotor Circuitry Following Spinal Cord Injury [article]

Deeptha Vasudevan, Yen-Chyi Liu, Joshua P. Barrios, Maya K. Wheeler, Adam D. Douglass, Richard I. Dorsky
2020 bioRxiv   pre-print
We have previously shown that zebrafish larvae regenerate lost neurons within 9 days post-injury (dpi), but the functional contribution of these neurons to motor recovery is unknown.  ...  Further, we show that one subtype of newly-generated interneurons receives excitatory input and fires synchronously with motor output by 9 dpi.  ...  We thank Angie Serrano for assistance with confocal imaging, Kristen Kwan for providing the Pax2a antibody, and David Grunwald for helpful discussions and critical reading of the manuscript.  ... 
doi:10.1101/2020.03.23.003806 fatcat:rjasn6vp2jeidhrv5pzb57ytsm

Using Visual Latencies to Improve Image Segmentation

Ralf Opara, Florentin Wörgötter
1996 Neural Computation  
The behavior of the network is given by the connectivity pattern (Fig. 1) and the dynamic behavior of the neurons that can be characterized as integrate and fire units.  ...  In Figure 3C (middle) each pixel represents the firing phase of one neuron. The phases are defined for active neurons which fire more than once and are calculated according to equation 2.4.  ... 
doi:10.1162/neco.1996.8.7.1493 pmid:8823944 fatcat:xo2b3qf7sna43d5gocwzhzpvpi
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