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Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation

Federico Corradi, Chris Eliasmith, Giacomo Indiveri
2014 2014 IEEE International Symposium on Circuits and Systems (ISCAS)  
We propose a parallel event-based method for calibrating appropriately the synaptic weights and demonstrate the method by encoding and decoding arbitrary mathematical functions, and by implementing dynamical  ...  In this paper we apply this approach to perform arbitrary mathematical computation using a mixed signal analog/digital neuromorphic multi-neuron VLSI chip.  ...  Such stable dynamical systems are fundamental for building complex neural systems, and developing brain inspired spikebased computing systems.  ... 
doi:10.1109/iscas.2014.6865117 dblp:conf/iscas/CorradiEI14 fatcat:imalaetxrrfknaufkvygnf6vcq

Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems

Francesco Carlo Morabito, Andreas G. Andreou, Elisabetta Chicca
2013 Neural Networks  
the performance of several spiking neural networks networks simulated on an analog VLSI neuromorphic integrated circuit.  ...  Mostafa Rahimi Azghadi, Said Al-Sarawi, Derek Abbott, and Nicolangelo Iannella, in the paper ''A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic Plasticity'', consider Triplet-based Spike  ... 
doi:10.1016/j.neunet.2013.07.001 pmid:23899498 fatcat:37jafps74zfj7ftnrodzpiib5y

Synthesizing cognition in neuromorphic electronic systems

E. Neftci, J. Binas, U. Rutishauser, E. Chicca, G. Indiveri, R. J. Douglas
2013 Proceedings of the National Academy of Sciences of the United States of America  
neuromorphic circuit modules that Significance Neuromorphic emulations express the dynamics of neural systems in analogous electronic circuits, offering a distributed, lowpower technology for constructing  ...  We describe here an architecture and method for embedding simple cognitive behaviors in a real-time neuromorphic CMOS VLSI system.  ...  Liu, Jean-Jacques Slotine, and Matthew Cook for discussion; and Michael Pfeiffer and Florian Jug for review.  ... 
doi:10.1073/pnas.1212083110 pmid:23878215 pmcid:PMC3773754 fatcat:rup6b4bqjnh3lkccfyg5etwrnu

Neuromorphic Systems [chapter]

G. Indiveri, S.-C. Liu, T. Delbrück, R. Douglas
2009 Encyclopedia of Neuroscience  
Neuromorphic engineering is concerned with the design and fabrication of artificial neural systems whose architecture and design principles are based on those of biological nervous systems.  ...  Digital and Analog in Neuromorphic VLSI Systems The majority of integrated circuits represent numbers as binary digits.  ...  Because the mapping table is programmable, arbitrary network topologies can be set and modified dynamically. This method greatly facilitates the configuration and testing of large multichip systems.  ... 
doi:10.1016/b978-008045046-9.01410-8 fatcat:4ltije22qzewrdmlgkgjr7dfim

A Systematic Method for Configuring VLSI Networks of Spiking Neurons

Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, Rodney Douglas
2011 Neural Computation  
Most important, our method offers a route toward a high-level task configuration language for neuromorphic VLSI systems.  ...  The key difficulty is that the dynamics of the CMOS electronic analogs are determined by transistor biases that do not map simply to the parameter types and values used in typical abstract mathematical  ...  Fasnacht for the design of the AER monitor/sequencer board and the reviewers for their useful comments.  ... 
doi:10.1162/neco_a_00182 pmid:21732859 fatcat:pqna5o5okjbqnpo7jzi6tyrduu

Recent trends in neuromorphic engineering

Sumit Soman, jayadeva, Manan Suri
2016 Big Data Analytics  
There is a diversity of work in the literature pertaining to neuromorphic systems, devices and circuits.  ...  Our survey indicates that neuromorphic engineering holds a promising future, particularly with growing data volumes, and the imminent need for intelligent, versatile computing.  ...  VLSI circuits, emerging VLSI technologies, control of robotic platforms, neural computation and biological, cognitive architectures.  ... 
doi:10.1186/s41044-016-0013-1 fatcat:oyjitbviy5cdpesqwo6fp5tpgu

Dynamic State and Parameter Estimation Applied to Neuromorphic Systems

Emre Ozgur Neftci, Bryan Toth, Giacomo Indiveri, Henry D. I. Abarbanel
2012 Neural Computation  
proposed network models for neuromorphic spike-based Very Large Scale Integration (VLSI) chips, and that it is able to systematically extract network parameters such as synaptic weights, time constants  ...  Our results suggest that this method can become a very useful tool for model-based identification and configuration of neuromorphic multi-chip VLSI systems.  ...  We also thank the Neuromorphic Cognitive Systems group for their help in building the neuromorphic setup, Daniel Fasnacht for the design of the AER mapper board and the AER monitor/sequencer board, Rodney  ... 
doi:10.1162/neco_a_00293 pmid:22428591 fatcat:nhtx4iuuvzfwtnzlkbh2ozunli

Large-scale neuromorphic computing systems

Steve Furber
2016 Journal of Neural Engineering  
SpiNNaker has been 15 years in conception and 10 years in construction, and many folk in Manchester and in our various collaborating groups around the world have contributed to get the project to its current  ...  with the universities of Southampton, Cambridge and Sheffield and with industry partners ARM Ltd, Silistix Ltd and Thales.  ...  Software running on the host will map the topology of the high-level model onto SpiNNaker's routing and compute resources and map the functionality of the model onto real-time library functions to be run  ... 
doi:10.1088/1741-2560/13/5/051001 pmid:27529195 fatcat:3ffwqgzpafetfgmac6m7ajkrqe

Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects?

Fredrik Sandin, Asad I. Khan, Adrian G. Dyer, Anang Hudaya M. Amin, Giacomo Indiveri, Elisabetta Chicca, Evgeny Osipov
2014 Journal of Software Engineering and Applications  
There are several remarkable results showing that honeybees can learn to master abstract concepts, providing a road map for future work to allow direct comparisons between bio-inspired computing architectures  ...  Sandin et al. 388 of prototype circuits for concept learning, which eventually may also help us to understand the more complex learning circuits of the human brain.  ...  AK thank Ahmet Sekercioglu and Alexander Senior for their assistance in the preparation of this paper. AGD thanks ARC DP0878968/DP0987989 for funding support. F. Sandin et al.  ... 
doi:10.4236/jsea.2014.75035 fatcat:4ifa2hwahbgjzob3im23hpfoam

Data and Power Efficient Intelligence with Neuromorphic Learning Machines

Emre O. Neftci
2018 iScience  
We suggest that a neuromorphic learning framework, tuned specifically for the spatial and temporal constraints of the neuromorphic substrate, will help guiding hardware algorithm co-design and deploying  ...  neuromorphic hardware for proactive learning of real-world data.  ...  ACKNOWLEDGMENTS This work was partly supported by the Intel Corporation, the National Science Foundation under grant 1652159, and by the Korean Institute of Science and Technology.  ... 
doi:10.1016/j.isci.2018.06.010 pmid:30240646 pmcid:PMC6123858 fatcat:zo4dvtgo75c7pn6n7tal24fkly

Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review

Mohammad-Hassan Tayarani-Najaran, Michael Schmuker
2021 Frontiers in Neural Circuits  
The key principle pursued in neuromorphic sensing is to shed the traditional approach of periodic sampling in favor of an event-driven scheme that mimicks sampling as it occurs in the nervous system, where  ...  In this paper we highlight the advantages and challenges of event-based sensing and signal processing in the visual, auditory and olfactory domains.  ...  AUTHOR CONTRIBUTIONS Both authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/fncir.2021.610446 pmid:34135736 pmcid:PMC8203204 fatcat:qjvv6czzufazthcyvs7go5pnj4

Analog VLSI-Based Modeling of the Primate Oculomotor System

Timothy K. Horiuchi, Christof Koch
1999 Neural Computation  
We here describe a neuromorphic system that is part of a long-term effort to understand the primate oculomotor system.  ...  It is driven by two different analog VLSI chips, one mimicking cortical visual processing for target selection and tracking and another modeling brain stem circuits that drive the eye muscles.  ...  Acknowledgments We thank Brooks Bishofberger for mechanical design of the oculomotor system and fabrication of some of the dynamics simulation electronics, Tobi Delbrück for advice on photoreceptor circuit  ... 
doi:10.1162/089976699300016908 pmid:9950732 fatcat:yljsnhiwgzegrdl23ffo4fkcx4

Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing

Mostafa Rahimi Azghadi, Ying-Chen Chen, Jason K. Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J. Kenyon, Burt Fowler, Jack C. Lee, Yao-Feng Chang
2020 Advanced Intelligent Systems  
of big data and a need for low-power and high-speed processing in everyday life and edge computing devices demands a shift to computers with elevated capabilities but with low power consumption.  ...  computation speed, in particular when a large amount of data is to be processed in a short time.  ...  Saber Moradi and Professor Indiveri for designing the circuit in Figure 3a and the chip, where its architecture is shown in Figure 11a .  ... 
doi:10.1002/aisy.202070050 fatcat:zm6gabaaerf3bchiimlmmcujlu

Neuromorphic Control [article]

Luka Ribar, Rodolphe Sepulchre
2021 arXiv   pre-print
Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biological organization of neural systems to develop novel technology for computing, sensing, and actuating  ...  The principles of biological neuromodulation suggest a methodology for designing and controlling mixed-feedback systems neuromorphically.  ...  Neuromorphic circuit architectures call for new computing, signal processing and control paradigms.  ... 
arXiv:2011.04441v2 fatcat:rkfaulzaijamzfwi3v4fqwscfi

A Model of Stimulus-Specific Adaptation in Neuromorphic Analog VLSI

Robert Mill, Sadique Sheik, Giacomo Indiveri, Susan L. Denham
2011 IEEE Transactions on Biomedical Circuits and Systems  
In this paper we present a model of SSA based on synaptic depression and describe its implementation in neuromorphic analog very-large-scale integration (VLSI).  ...  Stimulus-specific adaptation (SSA) is a phenomenon observed in neural systems which occurs when the spike count elicited in a single neuron decreases with repetitions of the same stimulus, and recovers  ...  Coath for his helpful suggestions regarding the manuscript, and the whole NCS group ( for contributing to the development of the AER and multi-chip experimental setups.  ... 
doi:10.1109/tbcas.2011.2163155 pmid:23852174 fatcat:mk355cpycvekxd3gpzoalzmufy
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