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Edward Paxon Frady
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2020 – today
- 2024
- [j15]Alpha Renner
, Lazar Supic
Neuromorphic visual scene understanding with resonator networks. Nat. Mac. Intell. 6(6): 641-652 (2024) - [j14]Alpha Renner
Visual odometry with neuromorphic resonator networks. Nat. Mac. Intell. 6(6): 653-663 (2024) - [j13]Denis Kleyko
Perceptron Theory Can Predict the Accuracy of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9885-9899 (2024) - [c7]Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies:
Efficient Video and Audio Processing with Loihi 2. ICASSP 2024: 13481-13485 - [i24]Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. CoRR abs/2406.18808 (2024) - 2023
- [j12]Denis Kleyko
Efficient Decoding of Compositional Structure in Holistic Representations. Neural Comput. 35(7): 1159-1186 (2023) - [j11]Edward Paxon Frady, Denis Kleyko
Variable Binding for Sparse Distributed Representations: Theory and Applications. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2191-2204 (2023) - [i23]Edward Paxon Frady, Spencer J. Kent, Quinn Tran, Pentti Kanerva, Bruno A. Olshausen, Friedrich T. Sommer:
Learning and generalization of compositional representations of visual scenes. CoRR abs/2303.13691 (2023) - [i22]Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer:
Efficient Decoding of Compositional Structure in Holistic Representations. CoRR abs/2305.16873 (2023) - [i21]Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies:
Efficient Video and Audio processing with Loihi 2. CoRR abs/2310.03251 (2023) - [i20]Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen:
Computing with Residue Numbers in High-Dimensional Representation. CoRR abs/2311.04872 (2023) - 2022
- [j10]Denis Kleyko
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110(10): 1538-1571 (2022) - [j9]Denis Kleyko
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1688-1701 (2022) - [j8]Denis Kleyko
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2701-2713 (2022) - [j7]Edward Paxon Frady
Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. 94(10): 917-927 (2022) - [c6]Alpha Renner
Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays. ICONS 2022: 27:1-27:5 - [c5]Denis Kleyko
Integer Factorization with Compositional Distributed Representations. NICE 2022: 73-80 - [c4]Edward Paxon Frady, Denis Kleyko
Computing on Functions Using Randomized Vector Representations (in brief). NICE 2022: 115-122 - [i19]Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady:
Integer Factorization with Compositional Distributed Representations. CoRR abs/2203.00920 (2022) - [i18]Connor Bybee, Edward Paxon Frady, Friedrich T. Sommer:
Deep Learning in Spiking Phasor Neural Networks. CoRR abs/2204.00507 (2022) - [i17]Alpha Renner
Neuromorphic Visual Scene Understanding with Resonator Networks. CoRR abs/2208.12880 (2022) - [i16]Alpha Renner
Neuromorphic Visual Odometry with Resonator Networks. CoRR abs/2209.02000 (2022) - 2021
- [j6]Denis Kleyko
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3777-3783 (2021) - [c3]Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn
Efficient Neuromorphic Signal Processing with Loihi 2. SiPS 2021: 254-259 - [i15]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:
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR abs/2106.05268 (2021) - [i14]Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer:
Computing on Functions Using Randomized Vector Representations. CoRR abs/2109.03429 (2021) - [i13]Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Loihi 2. CoRR abs/2111.03746 (2021) - 2020
- [j5]Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer:
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. Neural Comput. 32(12): 2311-2331 (2020) - [j4]Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. Neural Comput. 32(12): 2332-2388 (2020) - [c2]Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies:
Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. NICE 2020: 23:1-23:10 - [i12]Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies:
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. CoRR abs/2004.12691 (2020) - [i11]Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer:
Resonator networks for factoring distributed representations of data structures. CoRR abs/2007.03748 (2020) - [i10]Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer:
Variable Binding for Sparse Distributed Representations: Theory and Applications. CoRR abs/2009.06734 (2020) - [i9]Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer:
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. CoRR abs/2010.03585 (2020) - [i8]Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer:
Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR abs/2012.07881 (2020)
2010 – 2019
- 2019
- [i7]Edward Paxon Frady, Friedrich T. Sommer:
Robust computation with rhythmic spike patterns. CoRR abs/1901.07718 (2019) - [i6]Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Resonator Circuits for factoring high-dimensional vectors. CoRR abs/1906.11684 (2019) - [i5]Denis Kleyko, Mansour Kheffache, Edward Paxon Frady, Urban Wiklund, Evgeny Osipov:
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. CoRR abs/1909.09153 (2019) - 2018
- [j3]Edward Paxon Frady, Denis Kleyko
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks. Neural Comput. 30(6) (2018) - [i4]Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer:
A theory of sequence indexing and working memory in recurrent neural networks. CoRR abs/1803.00412 (2018) - 2017
- [j2]Abbas Rahimi
High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(9): 2508-2521 (2017) - [i3]Denis Kleyko, Edward Paxon Frady, Evgeny Osipov:
Integer Echo State Networks: Hyperdimensional Reservoir Computing. CoRR abs/1706.00280 (2017) - [i2]Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer:
Theory of the superposition principle for randomized connectionist representations in neural networks. CoRR abs/1707.01429 (2017) - 2016
- [j1]Edward Paxon Frady, Ashish Kapoor, Eric Horvitz, William B. Kristan Jr.:
Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks. Neural Comput. 28(8): 1453-1497 (2016) - 2015
- [i1]Ashish Kapoor, Edward Paxon Frady, Stefanie Jegelka, William B. Kristan Jr., Eric Horvitz:
Inferring and Learning from Neuronal Correspondences. CoRR abs/1501.05973 (2015) - 2014
- [r1]Edward Paxon Frady, William B. Kristan Jr.:
Computation with Population Codes. Encyclopedia of Computational Neuroscience 2014
2000 – 2009
- 2008
- [c1]Moran Cerf, Edward Paxon Frady, Christof Koch
Using semantic content as cues for better scanpath prediction. ETRA 2008: 143-146
Coauthor Index
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