Shea-Brown, Eric
- Dimensionality compression and expansion in Deep Neural Networks
2019/06/02 by Stefano Recanatesi, Matthew Farrell, Recanatesi, Stefano +9 · 9 citations
Computer Science · #Advanced Image Processing Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The Multivariate Hawkes Process in High Dimensions: Beyond Mutual Excitation
2017/07/16 by Shizhe Chen, Chen, Shizhe, Ali Shojaie +5 · 8 citations
Mathematics · Biochemistry, Genetics and Molecular Biology · #Point processes and geometric inequalities #Diffusion and Search Dynamics #Prion Diseases and Protein Misfolding
- How connectivity structure shapes rich and lazy learning in neural circuits
2023/10/12 by Yuhan Helena Liu, Aristide Baratin, Liu, Yuhan Helena +11 · 2 voices · 4 citations
Computer Science · Neuroscience · Engineering · #Neural Networks and Applications #Neural dynamics and brain function #Advanced Memory and Neural Computing
- Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
2022/06/02 by Yuhan Helena Liu, Stephen M. Smith, Liu, Yuhan Helena +7 · 2 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Neural Engineering
- From the statistics of connectivity to the statistics of spike times in\n neuronal networks
2017/03/08 by Gabriel Koch Ocker, Ocker, Gabriel Koch, Yu Hu +11 · 1 citation
Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Neural Engineering
- Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
2023/11/17 by James Hazelden, Yuhan Helena Liu, Hazelden, James +5 · 2 citations
Neuroscience · Computer Science · #Neural dynamics and brain function #Neural Networks and Applications #Neural Networks and Reservoir Computing
- Local paths to global coherence: cutting networks down to size
2012/12/18 by Yu Hu, James Trousdale, Hu, Yu +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #Dynamical Systems (math.DS) #FOS: Biological sciences #FOS: Mathematics #FOS: Physical sciences #Gene Regulatory Network Analysis #Mathematical Physics (math-ph) #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM) #Statistics Theory (math.ST) #Topological and Geometric Data Analysis #math-ph #math.DS #math.MP #math.ST #q-bio.NC #q-bio.QM #stat.TH
- Expressive probabilistic sampling in recurrent neural networks
2023/08/22 by Chen, Shirui, Jiang, Linxing Preston, Rao, Rajesh P. N. +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
- Attention for Causal Relationship Discovery from Biological Neural Dynamics
2023/11/12 by Lu, Ziyu, Tabassum, Anika, Kulkarni, Shruti +4 · 1 citation
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Neurons and Cognition (q-bio.NC)
- Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
2022/06/02 by Liu, Yuhan Helena, Ghosh, Arna, Richards, Blake A. +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)