Edward Paxon Frady

51 papers A* 1B 1Misc 1Journal 42Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized multi-object classification and tracking with sparse feature resonator networks. CoRR Lazar Supic, Alec Mullen, Edward Paxon Frady
2025	J	`jnl`	Towards a Comprehensive Theory of Reservoir Computing. CoRR Denis Kleyko, Christopher J. Kymn, Edward Paxon Frady, Amy Loutfi, Friedrich T. Sommer
2024	A*	`conf`	Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. NeurIPS Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Paxon Frady, Fritz Sommer, Bruno A. Olshausen
2024	J	`jnl`	Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. CoRR Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
2024	J	`jnl`	Computing With Residue Numbers in High-Dimensional Representation. Neural Comput. Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen
2024	Misc	`conf`	Efficient Video and Audio Processing with Loihi 2. ICASSP Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
2024	J	`jnl`	Neuromorphic visual scene understanding with resonator networks. Nat. Mac. Intell. Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
2024	J	`jnl`	Perceptron Theory Can Predict the Accuracy of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
2024	J	`jnl`	Visual odometry with neuromorphic resonator networks. Nat. Mac. Intell. Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya
2023	J	`jnl`	Computing with Residue Numbers in High-Dimensional Representation. CoRR Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen
2023	J	`jnl`	Efficient Decoding of Compositional Structure in Holistic Representations. CoRR Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer
2023	J	`jnl`	Efficient Decoding of Compositional Structure in Holistic Representations. Neural Comput. Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer
2023	J	`jnl`	Efficient Video and Audio processing with Loihi 2. CoRR Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
2023	J	`jnl`	Learning and generalization of compositional representations of visual scenes. CoRR Edward Paxon Frady, Spencer J. Kent, Quinn Tran, Pentti Kanerva, Bruno A. Olshausen, Friedrich T. Sommer
2023	J	`jnl`	Variable Binding for Sparse Distributed Representations: Theory and Applications. IEEE Trans. Neural Networks Learn. Syst. Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
2022	J	`jnl`	Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. IEEE Trans. Neural Networks Learn. Syst. Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer
2022	—	`conf`	Computing on Functions Using Randomized Vector Representations (in brief). NICE Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
2022	J	`jnl`	Deep Learning in Spiking Phasor Neural Networks. CoRR Connor Bybee, Edward Paxon Frady, Friedrich T. Sommer
2022	J	`jnl`	Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies
2022	J	`jnl`	Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware. IEEE Trans. Neural Networks Learn. Syst. Denis Kleyko, Edward Paxon Frady, Mansour Kheffache, Evgeny Osipov
2022	—	`conf`	Integer Factorization with Compositional Distributed Representations. NICE Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady
2022	J	`jnl`	Integer Factorization with Compositional Distributed Representations. CoRR Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady
2022	J	`jnl`	Neuromorphic Visual Odometry with Resonator Networks. CoRR Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya
2022	J	`jnl`	Neuromorphic Visual Scene Understanding with Resonator Networks. CoRR Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
2022	—	`conf`	Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays. ICONS Alpha Renner, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
2022	J	`jnl`	Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
2021	J	`jnl`	Computing on Functions Using Randomized Vector Representations. CoRR Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
2021	J	`jnl`	Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Denis Kleyko, Mansour Kheffache, Edward Paxon Frady, Urban Wiklund, Evgeny Osipov
2021	—	`conf`	Efficient Neuromorphic Signal Processing with Loihi 2. SiPS Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
2021	J	`jnl`	Efficient Neuromorphic Signal Processing with Loihi 2. CoRR Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
2021	J	`jnl`	Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
2020	J	`jnl`	Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. CoRR Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer
2020	—	`conf`	Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. NICE Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
2020	J	`jnl`	Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. CoRR Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
2020	J	`jnl`	Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
2020	J	`jnl`	Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. Neural Comput. Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer
2020	J	`jnl`	Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. Neural Comput. Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
2020	J	`jnl`	Resonator networks for factoring distributed representations of data structures. CoRR Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer
2020	J	`jnl`	Variable Binding for Sparse Distributed Representations: Theory and Applications. CoRR Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
2019	J	`jnl`	Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. CoRR Denis Kleyko, Mansour Kheffache, Edward Paxon Frady, Urban Wiklund, Evgeny Osipov
2019	J	`jnl`	Resonator Circuits for factoring high-dimensional vectors. CoRR Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
2019	J	`jnl`	Robust computation with rhythmic spike patterns. CoRR Edward Paxon Frady, Friedrich T. Sommer
2018	J	`jnl`	A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks. Neural Comput. Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
2018	J	`jnl`	A theory of sequence indexing and working memory in recurrent neural networks. CoRR Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
2017	J	`jnl`	High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Trans. Circuits Syst. I Regul. Pap. Abbas Rahimi, Sohum Datta, Denis Kleyko, Edward Paxon Frady, Bruno A. Olshausen, Pentti Kanerva, Jan M. Rabaey
2017	J	`jnl`	Integer Echo State Networks: Hyperdimensional Reservoir Computing. CoRR Denis Kleyko, Edward Paxon Frady, Evgeny Osipov
2017	J	`jnl`	Theory of the superposition principle for randomized connectionist representations in neural networks. CoRR Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
2016	J	`jnl`	Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks. Neural Comput. Edward Paxon Frady, Ashish Kapoor, Eric Horvitz, William B. Kristan Jr.
2015	J	`jnl`	Inferring and Learning from Neuronal Correspondences. CoRR Ashish Kapoor, Edward Paxon Frady, Stefanie Jegelka, William B. Kristan Jr., Eric Horvitz
2014	—	`ch.`	Computation with Population Codes. Encyclopedia of Computational Neuroscience Edward Paxon Frady, William B. Kristan Jr.
2008	B	`conf`	Using semantic content as cues for better scanpath prediction. ETRA Moran Cerf, Edward Paxon Frady, Christof Koch