Neil Bramley (@neilbramley) 's Twitter Profile
Neil Bramley

@neilbramley

Find me on Bluesky

ID: 35266736

linkhttps://bramleylab.ppls.ed.ac.uk/ calendar_today25-04-2009 17:47:56

194 Tweet

687 Followers

180 Following

Hilary Richardson @hilaryrichardson.bsky.social (@hil_richardson) 's Twitter Profile Photo

Weโ€™re hiring! Open area search for 4 (!) permanent positions, w/ particular interest in some areas (eg social psych). Feel free to reach out w Qs. Job ad: elxw.fa.em3.oraclecloud.com/hcmUI/Candidatโ€ฆ School of PPLS Psychology Jobs

Lauren N. Ross (@proflaurenross) 's Twitter Profile Photo

New paper w Dani S. Bassett on "Causation in neuroscience: keeping mechanism meaningful" in Nature Reviews Neuroscience Nature Rev Neurosci We explore different meanings of mechanism in the field, the challenges this presents & how to move forward. ๐Ÿง  U.S. National Science Foundation nature.com/articles/s4158โ€ฆ

Luiz Pessoa (@pessoabrain) 's Twitter Profile Photo

๐—ง๐—ต๐—ฒ ๐—ข๐—ป๐˜๐—ผ๐—น๐—ผ๐—ด๐˜† ๐—ผ๐—ณ ๐—–๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜… ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€: ๐—Ÿ๐—ฒ๐˜ƒ๐—ฒ๐—น๐˜€ ๐—ผ๐—ณ ๐—ข๐—ฟ๐—ด๐—ฎ๐—ป๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป, ๐—ฃ๐—ฒ๐—ฟ๐˜€๐—ฝ๐—ฒ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—–๐—ฎ๐˜‚๐˜€๐—ฎ๐—น ๐—ง๐—ต๐—ถ๐—ฐ๐—ธ๐—ฒ๐˜๐˜€ One of coolest figures in a philosophy paper... And one of most spectacular papers ever! cambridge.org/core/journals/โ€ฆ

๐—ง๐—ต๐—ฒ ๐—ข๐—ป๐˜๐—ผ๐—น๐—ผ๐—ด๐˜† ๐—ผ๐—ณ ๐—–๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜… ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€: ๐—Ÿ๐—ฒ๐˜ƒ๐—ฒ๐—น๐˜€ ๐—ผ๐—ณ ๐—ข๐—ฟ๐—ด๐—ฎ๐—ป๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป, ๐—ฃ๐—ฒ๐—ฟ๐˜€๐—ฝ๐—ฒ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—–๐—ฎ๐˜‚๐˜€๐—ฎ๐—น ๐—ง๐—ต๐—ถ๐—ฐ๐—ธ๐—ฒ๐˜๐˜€
One of coolest figures in a philosophy paper...
And one of most spectacular papers ever!
cambridge.org/core/journals/โ€ฆ
Brenden Lake (@lakebrenden) 's Twitter Profile Photo

Published in Science today, Wai Keen Vong reports a dream experiment: he trained a multi-modal AI model from scratch on a subset of one child's experiences, as captured by headcam video. Shows how grounded word learning is possible in natural settings, as discussed in his thread:

AK (@_akhaliq) 's Twitter Profile Photo

SymbolicAI A framework for logic-based approaches combining generative models and solvers paper page: huggingface.co/papers/2402.00โ€ฆ introduce SymbolicAI, a versatile and modular framework employing a logic-based approach to concept learning and flow management in generative

SymbolicAI

A framework for logic-based approaches combining generative models and solvers

paper page: huggingface.co/papers/2402.00โ€ฆ

introduce SymbolicAI, a versatile and modular framework employing a logic-based approach to concept learning and flow management in generative
Jon Richens (@jonathanrichens) 's Twitter Profile Photo

Excited to share our new paper arxiv.org/abs/2402.10877 (Oral, ICLR 2024, w/ Tom Everitt, Google DeepMind). In it we answer the question, do agents need to learn causal world models? arxiv.org/abs/2402.10877. ๐Ÿงต

Excited to share our new paper  arxiv.org/abs/2402.10877 (Oral, ICLR 2024, w/ <a href="/tom4everitt/">Tom Everitt</a>, <a href="/GoogleDeepMind/">Google DeepMind</a>). In it we answer the question, do agents need to learn causal world models? arxiv.org/abs/2402.10877. ๐Ÿงต
Tia Gong (@tianwei_gong) 's Twitter Profile Photo

Happy to share a new paper in JEP:G: "Evidence from the future"โœจโœจ, with Neil Bramley. We investigate how people make causal inferences with incomplete evidence, while effects may still be on their way. ๐Ÿงตpsycnet.apa.org/record/2024-45โ€ฆ

Happy to share a new paper in JEP:G: "Evidence from the future"โœจโœจ, with <a href="/NeilBramley/">Neil Bramley</a>. We investigate how people make causal inferences with incomplete evidence, while effects may still be on their way. ๐Ÿงตpsycnet.apa.org/record/2024-45โ€ฆ
Tia Gong (@tianwei_gong) 's Twitter Profile Photo

So honoured to be one of the recipients of this award! โœจThanks to my amazing supervisor Neil Bramley, my collaborators Tobias Gerstenberg, M Pacer, Griffiths Computational Cognitive Science Lab, Ralf Mayrhofer, and the pioneers and current researchers in causal reasoning who have inspired this thesis! โœจ

Roger Levy (@roger_p_levy) 's Twitter Profile Photo

@lksamueltweet Mariya Toneva @ally_mackey Eliot Hazeltine #cogsci2025 will happen in San Francisco July 30โ€“Aug 2 2025, in the capable organizational hands of Azzurra Ruggeri, David Barner, Caren Walker, and Neil Bramley โ€“ย can't wait!

Tomer Ullman (@tomerullman) 's Twitter Profile Photo

hooray, the "Bayesian Models of Cognition" book is out, for all your Bayesian models of cognition needs :) (I contributed to 3 chapters in the book -- development, intuitive physics, theory of mind -- that can be read on the ol' website)

hooray, the "Bayesian Models of Cognition" book is out, for all your Bayesian models of cognition needs :) 

(I contributed to 3 chapters in the book -- development, intuitive physics, theory of mind --  that can be read on the ol' website)
Tadeg Quillien (@tadegquillien) 's Twitter Profile Photo

New preprint with Neil Bramley and Chris Lucas: We argue that causal judgments are supported by richer mental representations than traditionally assumed, and that this hypothesis can help solve some puzzles about causation.

New preprint with <a href="/NeilBramley/">Neil Bramley</a> and Chris Lucas:

We argue that causal judgments are supported by richer mental representations than traditionally assumed, and that this hypothesis can help solve some puzzles about causation.