Isaac Meilijson

2006
21	EE	Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin: Axiomatic Scalable Neurocontroller Analysis via the Shapley Value. Artificial Life 12(3): 333-352 (2006)
2004
20	EE	Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin: Fair Attribution of Functional Contribution in Artificial and Biological Networks. Neural Computation 16(9): 1887-1915 (2004)
19	EE	Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin: Causal localization of neural function: the Shapley value method. Neurocomputing 58-60: 215-222 (2004)
2003
18		Lior Segev, Ranit Aharonov, Isaac Meilijson, Eytan Ruppin: High-Dimensional Analysis of Evolutionary Autonomous Agents. Artificial Life 9(1): 1-20 (2003)
17	EE	Ranit Aharonov, Lior Segev, Isaac Meilijson, Eytan Ruppin: Localization of Function via Lesion Analysis. Neural Computation 15(4): 885-913 (2003)
2002
16	EE	Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin: Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior. Neurocomputing 44-46: 951-956 (2002)
2001
15	EE	Ranit Aharonov, Isaac Meilijson, Eytan Ruppin: Understanding the Agent's Brain: A Quantitative Approach. ECAL 2001: 216-225
14	EE	Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin: Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching. ECAL 2001: 252-261
13		Gal Chechik, Isaac Meilijson, Eytan Ruppin: Effective Neuronal Learning with Ineffective Hebbian Learning Rules. Neural Computation 13(4): 817-840 (2001)
12	EE	Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin: Distributed synchrony in a cell assembly of spiking neurons. Neural Networks 14(6-7): 815-824 (2001)
2000
11		Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin: Who Does What? A Novel Algorithm to Determine Function Localization. NIPS 2000: 3-9
10	EE	Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal normalization provides effective learning through ineffective synaptic learning rules. Neurocomputing 32-33: 345-351 (2000)
1999
9	EE	David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin: Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS 1999: 129-135
8	EE	Gal Chechik, Isaac Meilijson, Eytan Ruppin: Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. NIPS 1999: 96-102
7		Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. Neural Computation 11(8): 2061-2080 (1999)
6	EE	Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development. Neurocomputing 26-27: 633-639 (1999)
1998
5	EE	Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal Regulation Implements Efficient Synaptic Pruning. NIPS 1998: 97-103
4		Gal Chechik, Isaac Meilijson, Eytan Ruppin: Synaptic Pruning In Development: A Computational Account. Neural Computation 10(7): 1759-1777 (1998)
1993
3	EE	Isaac Meilijson, Eytan Ruppin: Optimal Signalling in Attractor Neural Networks. NIPS 1993: 485-492
1992
2	EE	Isaac Meilijson, Eytan Ruppin, Moshe Sipper: Single-Iteration Threshold Hamming Networks. NIPS 1992: 564-571
1	EE	Isaac Meilijson, Eytan Ruppin: History-Dependent Attractor Neural Networks. NIPS 1992: 572-579

Coauthor Index

1	Ranit Aharonov	[15] [17] [18]
2	Ranit Aharonov-Barki	[11]
3	Gal Chechik	[4] [5] [6] [7] [8] [10] [13]
4	Claus C. Hilgetag	[19] [20] [21]
5	David Horn	[9] [12]
6	Daphna Joel	[14] [16]
7	Alon Keinan	[19] [20] [21]
8	Nir Levy	[9] [12]
9	Yael Niv	[14] [16]
10	Eytan Ruppin	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21]
11	Ben Sandbank	[20] [21]
12	Lior Segev	[17] [18]
13	Moshe Sipper	[2]