Dynamical similarity analysis can identify compositional dynamics developing in RNNs

Authors: Guilhot, Quentin, Wójcik, Michał, Achterberg, Jascha, Costa, Rui Ponte

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition

Access URL: http://arxiv.org/abs/2410.24070

Accelerated AI Inference via Dynamic Execution Methods

Authors: Barad, Haim, Achterberg, Jascha, Chou, Tien Pei, Yu, Jean

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2411.00853

Spatial embedding promotes a specific form of modularity with low entropy and heterogeneous spectral dynamics

Authors: Sheeran, Cornelia, Ham, Andrew S., Astle, Duncan E., Achterberg, Jascha, Akarca, Danyal

Subject Terms: Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Neurons and Cognition

Access URL: http://arxiv.org/abs/2409.17693

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience

Authors: He, Zhonghao, Achterberg, Jascha, Collins, Katie, Nejad, Kevin, Akarca, Danyal, Yang, Yinzhu, Gurnee, Wes, Sucholutsky, Ilia, Tang, Yuhan, Ianov, Rebeca, Ogden, George, Li, Chole, Sandbrink, Kai, Casper, Stephen, Ivanova, Anna, Lindsay, Grace W.

Subject Terms: Computer Science - Artificial Intelligence, Quantitative Biology - Neurons and Cognition

Access URL: http://arxiv.org/abs/2408.12664

Getting aligned on representational alignment

Authors: Sucholutsky, Ilia, Muttenthaler, Lukas, Weller, Adrian, Peng, Andi, Bobu, Andreea, Kim, Been, Love, Bradley C., Cueva, Christopher J., Grant, Erin, Groen, Iris, Achterberg, Jascha, Tenenbaum, Joshua B., Collins, Katherine M., Hermann, Katherine L., Oktar, Kerem, Greff, Klaus, Hebart, Martin N., Cloos, Nathan, Kriegeskorte, Nikolaus, Jacoby, Nori, Zhang, Qiuyi, Marjieh, Raja, Geirhos, Robert, Chen, Sherol, Kornblith, Simon, Rane, Sunayana, Konkle, Talia, O'Connell, Thomas P., Unterthiner, Thomas, Lampinen, Andrew K., Müller, Klaus-Robert, Toneva, Mariya, Griffiths, Thomas L.

Subject Terms: Quantitative Biology - Neurons and Cognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing

Access URL: http://arxiv.org/abs/2310.13018

Brain-inspired learning in artificial neural networks: a review

Authors: Schmidgall, Samuel, Achterberg, Jascha, Miconi, Thomas, Kirsch, Louis, Ziaei, Rojin, Hajiseyedrazi, S. Pardis, Eshraghian, Jason

Subject Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition

Access URL: http://arxiv.org/abs/2305.11252

Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture

Authors: Achterberg, Jascha, Akarca, Danyal, Assem, Moataz, Heimbach, Moritz, Astle, Duncan E., Duncan, John

Subject Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition

Access URL: http://arxiv.org/abs/2303.13651

Fluid intelligence and naturalistic task impairments after focal brain lesions

Authors: Smith, Verity, Pinasco, Clara, Achterberg, Jascha, Mitchell, Daniel J., Das, Tilak, Roca, Maria, Duncan, John

Source: Cortex. 146:106-115

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100176470309.0x000001&indx=1&recIds=ETOCvdc_100176470309.0x000001

Trainees' perspectives and recommendations for catalyzing the next generation of NeuroAI researchers.

Authors: Luppi, Andrea I., Achterberg, Jascha, Schmidgall, Samuel, Bilgin, Isil Poyraz, Herholz, Peer, Sprang, Maximilian, Fockter, Benjamin, Ham, Andrew Siyoon, Thorat, Sushrut, Ziaei, Rojin, Milisav, Filip, Proca, Alexandra M., Tolle, Hanna M., Suárez, Laura E., Scotti, Paul, Gellersen, Helena M.

Source: Nature Communications; 10/23/2024, Vol. 15 Issue 1, p1-7, 7p

Subject Terms: ARTIFICIAL intelligence, RESEARCH personnel, TRAINING needs, ADVICE

Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts

Authors: Kievit, Rogier A., Simpson-Kent, Ivan L. ^*, Fuhrmann, Delia, Bathelt, Joe, Achterberg, Jascha, Borgeest, Gesa Sophia

Source: In Developmental Cognitive Neuroscience February 2020 41

Brain-inspired learning in artificial neural networks: A review.

Authors: Schmidgall, Samuel, Ziaei, Rojin, Achterberg, Jascha, Kirsch, Louis, Hajiseyedrazi, S. Pardis, Eshraghian, Jason

Source: APL Machine Learning; Jun2024, Vol. 2 Issue 2, p1-14, 14p

Subject Terms: ARTIFICIAL neural networks, MACHINE learning, IMAGE processing, COMPUTATIONAL biology, DATA integration

Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings.

Authors: Achterberg, Jascha, Akarca, Danyal, Strouse, D. J., Duncan, John, Astle, Duncan E.

Source: Nature Machine Intelligence; Dec2023, Vol. 5 Issue 12, p1369-1381, 13p

Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts

Authors: Simpson-Kent, Ivan L., Fuhrmann, Delia, Bathelt, Joe, Achterberg, Jascha, Borgeest, Gesa Sophia

Source: Developmental cognitive neuroscience. 41

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100120072796.0x000001&indx=1&recIds=ETOCvdc_100120072796.0x000001

Erratum to 'Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts' [Dev. Cogn. Neurosci. 41 (2020) 100743]

Authors: Simpson-Kent, Ivan L., Fuhrmann, Delia, Bathelt, Joe, Achterberg, Jascha, Borgeest, Gesa Sophia, Kievit, Rogier A.

Source: Developmental cognitive neuroscience. 42

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100114409100.0x000001&indx=1&recIds=ETOCvdc_100114409100.0x000001

The globalizability of temporal discounting.

Authors: Ruggeri, Kai, Panin, Amma, Vdovic, Milica, Većkalov, Bojana, Abdul-Salaam, Nazeer, Achterberg, Jascha, Akil, Carla, Amatya, Jolly, Amatya, Kanchan, Andersen, Thomas Lind, Aquino, Sibele D., Arunasalam, Arjoon, Ashcroft-Jones, Sarah, Askelund, Adrian Dahl, Ayacaxli, Nélida, Sheshdeh, Aseman Bagheri, Bailey, Alexander, Barea Arroyo, Paula, Mejía, Genaro Basulto, Benvenuti, Martina

Source: Nature Human Behaviour; Oct2022, Vol. 6 Issue 10, p1386-1397, 12p

A One-Shot Shift from Explore to Exploit in Monkey Prefrontal Cortex.

Authors: Achterberg, Jascha¹, Mikiko Kadohisa¹, Kei Watanabe^2,3, Makoto Kusunoki¹, Buckley, Mark J.², Duncan, John^1,2 john.duncan@mrc-cbu.cam.ac.uk

Source: Journal of Neuroscience. 1/12/2022, Vol. 42 Issue 2, p276-287. 12p.

Subject Terms: *PREFRONTAL cortex, *REWARD (Psychology), *FRONTAL lobe, *LEARNING in animals, *MONKEYS