Artificial Cognitive Systems

The Artificial Cognitive Systems lab @DondersInst headed by @marcelge investigates the computational principles that govern natural and artificial intelligence.

[Artificial Cognitive Systems @artcogsys]

New preprint out! Probabilistic Forecasting via Autoregressive Flow Matching. https://t.co/bmLenaJPgT

[Thirza Dado @ThirzaDado]

Our new preprint "PAM: Predictive attention mechanism for neural decoding of visual perception" introduces a novel approach that learns output queries. Beneficial if queries are n/a, as in neural decoding! w/ @lynnle_ai @artcogsys @yagmurgucluturk @umuguc
https://t.co/oJpAlZeBie

[Sigur de Vries @SigurDeVries]

Discovering dynamic symbolic policies with genetic programming. The evolved policies:
-consist of interpretable dynamics equations
-offer transparency in the latent state
-robust under partial observability
-generalize to different task settings
https://t.co/RRGJqJ5NCQ

[Joshua Offergeld @joshoffergeld]

I'm excited to share our new preprint 'Subspace Node Pruning'! We present a novel perspective on pruning computational units from pre-trained deep networks with minimal performance loss. (0/10)

[Jesus @Jesus95727754]

Train RNNs efficiently without gradients! Our learning algorithms (ANP & DANP) offer a robust solution by
- Requiring only forward passes
- Avoiding vanishing gradients
- Matching BP (BPTT) performance
- Enabling neuromorphic hardware compatibility
https://t.co/4Uim69bqMF

[Thirza Dado @ThirzaDado]

[1/8] Our paper "Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain" is published! @PLOSCompBiol
#brainreading 🧠📖

Full paper: https://t.co/0zkWDFhkO1

[Sander Dalm @SanderD7683]

As AI adoption becomes more widespread, so do concerns about its energy consumption. Our latest paper proposes a method to train AI models more efficiently. The method reduces energy use by more than half when training a ResNet-18 model on ImageNet. https://t.co/HF3q2rgcaF

[Yuzhen Qin @YuzhenQin]

Check our paper to see how a simple bistable model can capture the essence of epileptic dynamics. Networks of such bistable models can be even more powerful in interpreting real data. Joint work with @A_ElGazzarr @DaniSBassett @Fabiopas82 @marcelge

[Artificial Cognitive Systems @artcogsys]

https://t.co/8dP2OSUhu4

[Ahmed El-Gazzar @A_ElGazzarr]

Excited to share our perspective paper on Universal differential equations for neuroscience. https://t.co/RBDVNwCVDz. In this manuscript, we argue for UDEs as a unifying framework to integrate mathematical modeling with machine learning in neuroscience.

[Artificial Cognitive Systems @artcogsys]

Come join us!
https://t.co/iPOvBmBiPg

[Artificial Cognitive Systems @artcogsys]

Come join us! Postdoctoral research position in efficient machine learning as part of the DBI2 research consortium: https://t.co/XLKrsOBmNV

[DBI2 @DBI2_Program]

We are very happy to announce that the DBI2 website is finally live!🥳 https://t.co/2HIN8h1d4Q. Please visit our website to find out about our team and research activities!

[Artificial Cognitive Systems @artcogsys]

New paper out! Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems
https://t.co/8nBmeOuXfz

[Artificial Cognitive Systems @artcogsys]

Unlocking speech for paralyzed individuals using Brain-Computer Interface Technology and AI https://t.co/179r9bXium via @Radboud_Uni

[Lex Dingemans @ajmdingemans]

Beyond excited: our manuscript on PhenoScore is out in @NatureGenet! By combining facial recognition technology with phenotypic data analyses, we recognize 37/40 investigated syndromes and even establish new phenotypic subgroups for #ADNP! https://t.co/guGm4ZQOBk

[Luca Ambrogioni @LucaAmb]

I'm happy to share Gabriel's (@gaboraya) post on symmetry breaking in diffusion models!

Link:
https://t.co/lDElbfHQ4n

Spontaneous symmetry breaking is behind the standard model of particle physics... it turns out it is also behind the generative powers of diffusion models!

[Artificial Cognitive Systems @artcogsys]

Our "The neuroconnectionist research programme" paper has been published in Nature Reviews Neuroscience! https://t.co/ctoiqCWNOZ

[Artificial Cognitive Systems @artcogsys]

Come join us! Senior researcher position in reinforcement learning leading towards a tenured assistant professorship: https://t.co/xohGwurw4k

[Artificial Cognitive Systems @artcogsys]

Come join us! #DeepLearning #MachineLearning #ArtificialIntelligence software engineer:
https://t.co/H3Kb2Ti1OB