Publications of E Giannakakis

Journal Article (1)

1.
Journal Article
Khajehabdollahi, S.; Prosi, J.; Giannakakis, E.; Martius, G.; Levina, A.: When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. Artificial Life 28 (4), pp. 458 - 478 (2022)

Conference Paper (4)

2.
Conference Paper
Giannakakis, E.; Khajehabdollahi, S.; Levina, A.: Environmental variability and network structure determine the optimal plasticity mechanisms in embodied agents. In: ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, pp. 157 - 166 (Eds. Iizuka, H.; Suzuki, K.; Uno, R.; Damiano, L.; Spychala, N. et al.). ALIFE 2023: Ghost in the Machine: The 2021 Conference on Artificial Life, Sapporo, Japan, July 24, 2023 - July 28, 2023. MIT Press (2023)
3.
Conference Paper
Khajehabdollahi, S.; Giannakakis, E.; Buendia, V.; Martius, G.; Levina, A.: Locally adaptive cellular automata for goal-oriented self-organization. In: ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, pp. 410 - 419 (Eds. Iizuka, H.; Suzuki, K.; Uno, R.; Damiano, L.; Spychala, N. et al.). ALIFE 2023: Ghost in the Machine: The 2021 Conference on Artificial Life, Sapporo, Japan, July 24, 2023 - July 28, 2023. MIT Press (2023)
4.
Conference Paper
Khajehabdollahi, S.; Giannakakis, E.; Prosi, J.; Levina, A.: Reservoir computing with self-organizing neural oscillators. In: Artificial Life Conference Proceedings, Vol. 2021, 78. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)
5.
Conference Paper
Prosi, J.; Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: The dynamical regime and its importance for evolvability, task performance and generalization. In: Artificial Life Conference Proceedings, Vol. 2021, 79. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)

Meeting Abstract (1)

6.
Meeting Abstract
Zeraati, R.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Martius, G.; Levina, A.: Role of single-neuron and network-mediated timescales in recurrent neural networks solving long-memory tasks. In Bernstein Conference 2023, CT 4. Bernstein Conference 2023, Berlin, Germany, September 26, 2023 - September 29, 2023. (2023)

Poster (11)

7.
Poster
Giannakakis, E.; Buendia, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Distinct excitatory and inhibitory connectivity structures control the dynamics and computational capabilities of recurrent networks. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal (2024)
8.
Poster
Giannakakis, E.; Buendía, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Inhomogeneous connectivity structures in E/I networks enable the processing of multiple chaotic time series. Bernstein Conference 2023, Berlin, Germany (2023)
9.
Poster
Sagtekin, A.; Giannakakis, E.; Levina, A.: Emergent E/I anti-tuning and balance during surrogate gradient learning. Bernstein Conference 2023, Berlin, Germany (2023)
10.
Poster
Vinogradov, O.; Giannakakis, E.; Buendia, V.; Uysal, B.; Weinreb, E.; Ron, S.; Lerche, H.; Moses, E.; Levina, A.: Network excitability determines collective bursting dynamics of neuronal networks in vitro. Bernstein Conference 2023, Berlin, Germany (2023)
11.
Poster
Giannakakis, E.; Levina, A.; Buendia, V.; Khajehabdollahi, S.: Synaptic-type-specific clustering optimizes the computational capabilities of balanced recurrent networks. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)
12.
Poster
Giannakakis, E.; Khajehabdollahi, S.; Buendia, V.; Levina, A.: The topology of E/I recurrent networks regulates their ability to learn the dynamics of chaotic attractors. Bernstein Conference 2022, Berlin, Germany (2022)
13.
Poster
Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: Cellular automata for efficient large-scale simulations of spiking networks. Bernstein Conference 2022, Berlin, Germany (2022)
14.
Poster
Giannakakis, E.; Vinogradov, O.; Levina, A.: Clustered recurrent connectivity promotes the development of E/I co-tuning via synaptic plasticity. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
15.
Poster
Giannakakis, E.; Levina, A.: Recurrent connectivity controls the ability of inhibitory synaptic plasticity to produce E/I co-tuning. 30th Annual Computational Neuroscience Meeting (CNS*2021) (2021)
16.
Poster
Giannakakis, E.; Vinogradov, O.; Levina, A.: Recurrent connectivity regulates the ability of inhibitory STDP to produce E/I co-tuning in a spiking network. Bernstein Conference 2021 (2021)
17.
Poster
Patzlaff, N.; Vinogradov, O.; Giannakakis, E.; Levina, A.: Examining network dynamics under inhibitory rewiring. Bernstein Conference 2021 (2021)

Preprint (4)

18.
Preprint
Fardet, T.; Giannakakis, E.; Paulun, K.; Levina, A.: Revising clustering and small-worldness in brain networks. (submitted)
19.
Preprint
Khajehabdollahi, S.; Zeraati, R.; Giannakakis, E.; Schäfer, T.; Martius, G.; Levina, A.: Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. (submitted)
20.
Preprint
Giannakakis, E.; Vinogradov, O.; Buendia, V.; Levina, A.: The topology of E/I recurrent networks regulates the effects of synaptic plasticity. (submitted)
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