26 papers · ranked by Valyu relevance
Luis H. Favela, Edouard Machery
The concept of representation is commonly treated as indispensable to research on brains, behavior, and cognition. Nevertheless, systematic evidence about the ways the concept is applied remains scarce. We present the results of an experiment aimed at elucidating what researchers mean by “representation.” Participants…
Jonathan C. W. Edwards
It is widely perceived that there is a problem in giving a naturalistic account of mental representation that deals adequately with the issue of meaning, interpretation, or significance (semantic content). It is suggested here that this problem may arise partly from the conflation of two vernacular senses of…
Adrian Downey
In this paper I argue that, by combining eliminativist and fictionalist approaches toward the sub-personal representational posits of predictive processing, we arrive at an empirically robust and yet metaphysically innocuous cognitive scientific framework. I begin the paper by providing a non-representational account…
Florian Évéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis
Elections are the central institution of democratic processes, and often the elected body – in either public or private governance – is a committee of individuals. To ensure the legitimacy of elected bodies, the electoral processes should guarantee that diverse groups are represented, in particular members of groups…
Constant Bonard
Drawing on affective sciences, I argue that normally elicited emotions involve a component-the appraisal process-that represents evaluative properties unconsciously. More specifically, I argue that, given a substantial agreement in affective sciences about what emotions are, given broadly shared definitions of…
Jörn Diedrichsen, Nikolaus Kriegeskorte
Representational models explain how activity patterns in populations of neurons (or, more generally, in multivariate brain activity measurements) relate to sensory stimuli, motor actions, or cognitive processes. In an experimental context, representational models can be defined as probabilistic hypotheses about what…
Zsuzsanna Kondor
Accepting the idea that the mental representations of concepts, diagrams, relations, plans, etc., are thought-shapers, I suggest going a bit further. Any kind of representation, be it mental or public, i.e., accessible to others, bears thought-shaping potential, albeit not in the same manner. Just as the idea of…
Agnes Blome, Miriam Hartlapp
The French and the German national parliaments are dominated by highly educated, older, and mostly male politicians. There are growing calls for a more balanced political representation of different social groups. This paper seeks to inform this debate by conceptualizing and measuring representation gaps for women…
María Jesús Cano-Martínez, Miguel Ángel Carrasco, Joaquín Sandoval, César González-Martín
'César González-Martín'] Representation is the way in which human beings re-present the reality of what is happening, both externally and internally. Thus, visual representation as a means of communication uses elements to build a narrative, just as spoken and written language do. We propose using computer analysis to…
Authors not listed
Machine learning is increasingly used to predict reaction properties such as barrier heights, reaction energies, rates, or yields, as well as the underlying molecular geometries, including transition state structures. While such predictions have the potential to provide mechanistic insight for high-impact applications…
Glenn R. Hofford
Representation is a cross-discipline topic that includes knowledge representation from the field of artificial intelligence, meaning representation from the field of natural language understanding, and structured information from information processing. The field of logic is replete with methods for representation and…
Pau Palop-García
The legislatures of Colombia and Ecuador have reserved seats for their non-resident citizens (emigrants). This paper analyses the relationship between the formal, descriptive, and substantive dimensions of emigrant representation in their homeland legislatures. The analysis compares the legislative work of emigrant MPs…
Matthew Hutson
The brain is often called a computer and likened to a Turing machine, in part because the mind can manipulate discrete symbols such as numbers. But the brain is a dynamical system, more like a Watt governor than a Turing machine. Can a dynamical system be said to operate using "representations"? This paper argues that…
Benjamin W. Roop, Benjamin Parrell, Adam C. Lammert
Uncovering cognitive representations is an elusive goal that is increasingly pursued using the reverse correlation method. Employing reverse correlation often entails collecting thousands of stimulus-response pairs from human subjects, a burdensome task that limits the feasibility of many such studies. This…
João F. Guassi Moreira, Kiho Sung, Yixuan Lisa Shen, Sunhae Sul + 2 more
Mental representations of others are central to social behavior, yet little is known about how these representations evolve over significant periods of time as people get to know one another. In this longitudinal functional magnetic resonance imaging study, we tracked how neural representations of familiar peers…
Kyla Chasalow, Karen Levy
Representativeness is a foundational yet slippery concept. Though familiar at first blush, it lacks a single precise meaning. Instead, meanings range from typical or characteristic, to a proportionate match between sample and population, to a more general sense of accuracy, generalizability, coverage, or inclusiveness.…
Ada K. Hagan, Rebecca M. Pollet, Josie Libertucci
The biomedical sciences have a problem retaining white women and underrepresented minorities in academia. Despite increases in the representation of these groups in faculty candidate pools, they are still underrepresented at the faculty level, particularly at the Full Professor level. The lack of diverse individuals at…
Siying Xie, Stefanie Hoehl, Merle Moeskops, Ezgi Kayhan + 4 more
Visual categorization is a human core cognitive capacity that depends on the development of visual category representations in the infant brain. The nature of infant visual category representations and their relationship to the corresponding adult form however remain unknown. Our results clarify the nature of visual…
Abhimanyu Pavuluri, Adam Kohn
Our understanding of visual cortical processing has relied primarily on studying the selectivity of individual neurons in different areas. A complementary approach is to study how the representational geometry of neuronal populations differs across areas. Though the geometry is derived from individual neuronal…
Anthony Onwuli, Keith T. Butler, Aron Walsh
High-dimensional representations of the elements have become common within the field of materials informatics to build useful, structure-agnostic models for the chemistry of materials. However, the characteristics of elements change when they adopt a given oxidation state, with distinct structural preferences and…
Laurie Bayet, Benjamin D. Zinszer, Emily Reilly, Julia K. Cataldo + 4 more
Tools from computational neuroscience have facilitated the investigation of the neural correlates of mental representations. However, access to the representational content of neural activations early in life has remained limited. We asked whether patterns of neural activity elicited by complex visual stimuli (animals…
Maria Boulougouri, Pierre Vandergheynst, Daniel Probst
Computational representation of molecules can take many forms, including graphs, stringencodings of graphs, binary vectors, or learned embeddings in the form of real-valued vectors. These representations are then used in downstream classification and regression tasks using a wide range of machine-learning models.…
Authors not listed
Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules exhibiting resonance, where multiple valid Lewis structures represent the same species. This causes inconsistent…
Authors not listed
Quantum state tomography has been widely used to reconstruct the quantum state of a system from a set of informationally-complete measurements. Obtaining enough information about, e.g., the wavefunction of a molecule allows its complete characterization. On the other hand, deep learning models for molecular property…
Authors not listed
In molecular machine learning, the choice of the representation of molecules can have a significant impact on model performance. However, understanding the root causes of these performance differences often proves challenging. One promising approach to explore model behavior is representational alignment, which…
Daniela Gaytán-Hernández, Ana L. Chávez-Hernández, Edgar López-López, Jazmín Miranda-Salas + 2 more
Science and art have been connected for centuries. With the development of new computational methods, new scientific disciplines have emerged, such as computational chemistry, and related fields, such as chemoinformatics that use informatic methods to solve chemical problems focusing on small molecules.…