Citation Relationships

Ji Y, Zhang YH, Zheng WM (2016) Modelling Spiking Neural Network from the Architecture Evaluation Perspective Journal of Computer Science and Technology 31:50-59

References and models cited by this paper

References and models that cite this paper

Abad P,Puente V,Gregorio J (2009) MRR: Enabling fully adaptive multicast routing for CMP interconnection networks Proc. the 15th IEEE HPCA :355-366

Ali M,Welzl M,Adnan A,et al (2006) Using the NS-2 network simulator for evaluating network on chips (NoC) Proc. IEEE ICET :506-512

Amir A,Datta P,Risk WP,et al (2013) Cognitive computing programming paradigm: A corelet language for composing networks of neurosynaptic cores Proc. the 2013 International Joint Conference on Neural Networks (IJCNN)

Boahen K (2006) Neurogrid: emulating a million neurons in the cortex. Conf Proc IEEE Eng Med Biol Soc Suppl:6702 [Journal] [PubMed]

Carrillo S,Harkin J,McDaid LJ,et al (2013) Scalable hierarchical network-on-chip architecture for spiking neural network hardware implementations IEEE Transactions on Parallel and Distributed Systems 24(12):2451-2461

Chakradhar S,Sankaradas M,Jakkula V,et al (2010) A dynamically configurable coprocessor for convolutional neural networks ACM SIGARCH Computer Architecture News 38(3):247-257

Chen T,Du Z,Sun N,et al (2014) DianNao: A small-footprint high-throughput accelerator for ubiquitous machine- learning ACM SIGPLAN Notices 49(4):269-284

Chen Y,Luo T,Liu S,et al (2014) DaDianNao: A machine- learning supercomputer Proc. the 47th IEEE/ACM Int. Symp. Microarchitecture (MICRO) :609-622

Conklin J, Eliasmith C (2005) A controlled attractor network model of path integration in the rat. J Comput Neurosci 18:183-203 [Journal] [PubMed]

Eliasmith C, Martens J (2011) Normalization for probabilistic inference with neurons. Biol Cybern 104:251-62 [Journal] [PubMed]

Fidjeland AK,Roesch EB,Shanahan MP,et al (2009) NeMo: A platform for neural modelling of spiking neurons using GPUs Proc. the 20th IEEE ASAP :137-144

Furber SB,Lester DR,Plana LA,et al (2013) Overview of the SpiNNaker system architecture IEEE Transactions on Computers 62(12):2454-2467

Glackin B,McGinnity TM,Maguire LP,et al (2005) A novel approach for the implementation of large scale spiking neural networks on FPGA hardware Proc. the 18th IWANN 18:552-563

Happel BLM,Murre JMJ (1994) Design and evolution of modular neural network architectures Neural Networks 7(6/7):985-1004

Hereld M,Stevens R,Sterling T,Gao GR (2009) Structured hints: Extracting and abstracting domain expertise Technical Report, ANL/MCS-TM-303, Argonne National Laboratory., Nov. 2015

Hines ML, Morse T, Migliore M, Carnevale NT, Shepherd GM (2004) ModelDB: A Database to Support Computational Neuroscience. J Comput Neurosci 17:7-11 [Journal] [PubMed]

Jerger NE,Peh LS,Lipasti M (2008) Virtual circuit tree multicasting: A case for on-chip hardware multicast support Proc. the 35th International Symposium on Computer Architecture :229-240

Kahng AB,Li B,Peh LS,et al (2009) ORION 2.0: A fast and accurate NoC power and area model for early-stage design space exploration Proc. Design, Automation and Test in Europe :423-428

Lis M,Shim KS,Cho MH,et al (2015) DARSIM: A parallel cycle- level NoC simulator

Liu D,Chen T,Liu S,et al (2015) PuDianNao: A polyvalent machine learning accelerator Proc. the 20th International Conference on Architectural Support for Programming Languages and Operating Systems :369-381

Merolla PA, Arthur JV, Alvarez-Icaza R, Cassidy AS, Sawada J, Akopyan F, Jackson BL, Imam N, Guo C, Nakamura Y, Brezzo B, Vo I, Esser SK, Appuswamy R, Taba B, Amir A, Flickner MD, Risk WP, Manohar R, Modha DS (2014) Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface. Science 345:668-73 [Journal] [PubMed]

Pande S (2014) Design exploration of EMBRACE hardware spik- ing neural network architecture and applications Ph.D. Thesis. Electrical & Electronic Engineering College of Engineering and Informatics, National University of Ireland

Paugam-Moisy H,Bohte S (2012) Computing with spiking neuron networks Handbook of Natural Computing, Rozenberg G:Back T:Kok JN, ed. pp.335

Redgrave P, Prescott TJ, Gurney K (1999) The basal ganglia: a vertebrate solution to the selection problem? Neuroscience 89:1009-23 [PubMed]

Rodrigo S,Flich J,Duato J,et aL (2008) Efficient unicast and multicast support for CMPs Proc. the 41st IEEE/ACM MICRO :364-375

Schemmel J,Bruderle D,Grubl A,Et Al (2010) A wafer-scale neuromorphic hardware system for large-scale neural modeling Proc. the 2010 IEEE International Symposium on Circuits and Systems, May 30-June 2 :1947-1950

Seo J,Brezzo B,Liu Y,et al (2011) A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons Proc. IEEE CICC

Stewart TC, Bekolay T, Eliasmith C (2012) Learning to select actions with spiking neurons in the Basal Ganglia. Front Neurosci 6:2 [Journal] [PubMed]

Tripp BP, Eliasmith C (2010) Population models of temporal differentiation. Neural Comput 22:621-59 [Journal] [PubMed]

   Population models of temporal differentiation (Tripp and Eliasmith 2010) [Model]

Vainbrand D,Ginosar R (2011) Scalable network-on-chip architecture for configurable neural networks Microprocessors and Microsystems :152-166

Wang HS,Zhu X,Peh LS,et al (2002) Orion: A power- performance simulator for interconnection networks Proc. the 35th Annual IEEE/ACM International Symposium on Microarchitecture :294-305

Wendt K,Ehrlich M,Schuffny R (2008) A graph theoretical approach for a multistep mapping software for the facets project Proc. the 2nd WSEAS International Conference on Computer Engineering and Applications 2ND:189-194

(32 refs)