United States

Spatial navigation is supported by the combined activity of brain regions in the human navigation network (HNN) that integrates environmental information across complementary egocentric and allocentric reference frames. Despite humans mainly relying on vision to navigate space, the impact of early visual deprivation on the HNN is mostly unknown. In our experiment sighted and early blind participants were tested in two tasks of imagined navigation while undergoing fMRI. Results show, on the one hand, that both sighted and blind activated regions of the HNN during navigation, with no differences between groups. On the other hand, quadrature filter analysis in the entorhinal cortex, a crucial region for the creation of cognitive maps, revealed an alteration of grid-like coding in early blind individuals, which might be correlated to the adoption of egocentric-like strategies to navigate in space.

CogSci 2023

Altered grid-like coding in early blind people during imagined navigation

The 46th Annual Meeting of the Cognitive Science Society was an in-person meeting held in Rotterdam, The Netherlands at the Postillion Hotel & Conference Centre.

**ON-DEMAND PROGRAM ACCESS AFTER THE CONFERENCE**<br>
Recordings of the invited program are now available. You can access them by clicking on the 'Schedule' icon on the left. Select view by week and navigate to the day and time slot of the recording you wish to view. Click on the time slot to access the recording.

Recordings available (click on each recording to view):

**Thursday, July 25**<br>
0900: [Keynote Speaker Morgan Barense on Enhancing real-world event memory](https://underline.io/events/465/sessions/17997/lecture/99084-dynamics-between-minds-and-the-environment)<br>
1000: [Gleitman Award Winner Isabelle Dautriche on Language Foundations: Insights from acquisition, communication, cognition, and more](https://underline.io/events/465/sessions/18000/lecture/99085-gleitman-talk)<br>
1415: [Invited Symposium: Dynamics between minds and the environment](https://underline.io/events/465/sessions?eventSessionId=18016&searchGroup=lecture)<br>
1700: [Rumelhart Prize Presentation Speaker Alison Gopnik on Exploit, explore, empower: Three ages and three intelligences](https://underline.io/events/465/sessions/18028/lecture/99161-rp1-rumelhart-prize-presentation)<br>

**Friday, July 26**<br>
0900: [C.L. de Carvalho-Heineken Prize Keynote Speaker Kia Nobre on Focusing in memory](https://underline.io/events/465/sessions/18035/lecture/99162-hp1-c-l-de-carvalho-heineken-prize-keynote-address)<br>
1030: [Rumelhart Symposium: Childhood as exploration](https://underline.io/events/465/sessions/18038/lecture/100346-childhood-as-exploration)<br>
1415: [Elman Prize Symposium](https://underline.io/events/465/sessions?eventSessionId=18053&searchGroup=lecture)<br>
1600: [Invited Symposium: Dynamics between minds](https://underline.io/events/465/sessions?eventSessionId=18065&searchGroup=lecture)<br>
1745: [Keynote Speaker Andrea E. Martin on Neural dynamics encode the structure and statistics of language](https://underline.io/events/465/sessions/18077/lecture/99271-neural-dynamics-encode-the-structure-and-statistics-of-language)<br>

**Saturday, July 27**<br>
0900: [Keynote Speaker Gregor Schöner on How higher cognition emerges from the dynamics of strongly interacting neural populations](https://underline.io/events/465/sessions/18083/lecture/99273-dynamics-within-the-mind)<br>
1000: [Glushko Talks](https://underline.io/events/465/sessions?eventSessionId=18086&searchGroup=lecture)<br>
1500: [Invited Symposium: Dynamics within minds](https://underline.io/events/465/sessions?eventSessionId=18100&searchGroup=lecture)<br>


#### **CogSci 2024 Program Book**
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**The Program Book can be downloaded [here](https://drive.google.com/file/d/1yRVp1cBqRnAbdYi4GXWV_pZeyWNsRquv/view?usp=sharing).**

#### **Letter from the President**

Welcome to the 2024 Meeting of the Cognitive Science Society in Rotterdam! CogSci 2024 brings together a large community of cognitive scientists who have traveled here from around the world, as well as a smaller group of remote presenters. I would like to extend an especially warm welcome to our first-time CogSci meeting attendees, and hope that 
their experience inspires them to join our future meetings for many years to come.

I want to thank this year’s conference co-chairs, Larissa K Samuelson, Stefan Frank, Mariya Toneva, Allyson Mackey, and Eliot Hazeltine, for putting together an amazing series of invited talks and symposia around the theme of Dynamics of Cognition. The co-chairs also deserve credit for handling a record-breaking number of submissions and producing a truly exciting conference program 

Beyond the invited talks and symposia dedicated to this year’s conference theme, I would like to highlight the presentations and events honoring the 
Rumelhart, Elman, Gleitman and C .L . de Carvalho Heineken prize winners, including the Rumelhart reception on Thursday. As you may know, we are recording all of the invited talks and symposia, and all prize-winners’ talks, and will be making this content available after the conference. 

The Cognitive Science Society relies on the volunteer efforts of our Governing Board members who work on matters related to our membership; conference policies; diversity and inclusion, international, and outreach initiatives; prizes and much more. We welcome interest from Society members who would like to become more involved in what we do. The 
Society is deeply grateful to Rick Dale and Andrea Bender, who serve as editors of the two Society journals, Cognitive Science and Topics in Cognitive Science respectively. We especially acknowledge our editors’ generosity in donating their stipends each year to D&I and outreach efforts. 

This year’s Annual Meeting depends critically on the support of Marischal De Armond and his team at Podium Conference Specialists: Sharon Zwack, Cendrine De Vis, Sarah-Kate Burke, and Rachel Waller worked tirelessly to secure the venue and handled a multitude of logistical and organizational issues, from arranging coffee breaks and receptions to making sure that a huge number of posters fits comfortably into the available space. Finally, and importantly, I would like to acknowledge the Cognitive Science Society Executive Officer, Erica Wojcik, for managing the complex and ever expanding sphere of our Society’s activities.

I hope you enjoy this year’s meeting and the many different opportunities to engage with the vibrant community of cognitive scientists gathered here. I also hope you get a chance to explore the great city of Rotterdam with its many attractions, museums, restaurants and scenic views. If you’d like to talk more about our Society, or simply want to say hello, please stop by!

![](https://assets.underline.io/markdown_image/1/image/3c66d0e21fff30e204df1138ffd15173.jpeg)

**Anna Papafragou**  
President, Cognitive Science 
Society 2023-2024

**CODE OF CONDUCT**<br>
By attending the CogSci 2024 Conference, you are required to adhere to the society’s [Code of Conduct](https://drive.google.com/file/d/16-6KkptF0Gn3ZYGJDlpqpwTdImw45Ng0/view?usp=drive_link).

**ABOUT THE COGNITIVE SCIENCE SOCIETY**<br>
The Cognitive Science Society brings together researchers from around the world who hold a common goal: understanding the nature of the human mind. The mission of the Society is to promote Cognitive Science as a discipline, and to foster scientific interchange among researchers in various areas of study, including Artificial Intelligence, Linguistics, Anthropology, Psychology, Neuroscience, Philosophy, and Education.

The Society is a non-profit professional organization and its activities include sponsoring an annual conference and publishing the journals Cognitive Science and TopiCS.
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CogSci 2024

The 46th Annual Meeting of the Cognitive Science Society presents the latest research across cognitive science and highlights the theme of Cognition in Context.

poster

The 45th Annual Meeting of the Cognitive Science Society will take place in Sydney, Australia as a modified hybrid conference. Presentations from the main-session room will be live-streamed every day for all events. This will include all invited talks and award sessions. Recordings of all CogSci 2023 sessions will be made available for on-demand viewing after the conference.<br>
The in-person component will be held at the International Convention Centre Sydney at Darling Harbour. The Conference will take place Wednesday July 26th – Saturday July 29th, 2023 (Wednesday, July 26th is the Workshops Day).

Join us!

<br>[**The Program at a Glance can be found here**](https://cognitivesciencesociety.org/wp-content/uploads/2023/07/COgSci-PAAG-V2.pdf)
<br>[**The Detailed Program can be found here**](https://online.fliphtml5.com/ebtyf/mswz/)
<br><br>

#### **CogSci 2023 Program Book**
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<br>

The 45th Annual Meeting of the Cognitive Science Society presents the latest research across cognitive science and highlights the theme of Cognition in Context.

World-wide, millions experience mild traumatic brain injury (mTBI) annually, which may lead to persistent neurobehavioral symptoms (NBS). Post-mTBI speed of processing studies have shown mixed results, but few have examined NBS. A novel ERP task examined the relationship between NBS, mTBI, and target detection performance. P300 latency and amplitude, response time (RTs) and accuracy were measured from community-dwelling adults with (+mTBI n=18; Female 12) and without mTBI (-mTBI n=21; Female 11). The Neurobehavioral Symptom Inventory (NSI) measured self-reported NBS. We expected +mTBI to show increased P300 latencies and RTs. No differences were observed between +mTBI and -mTBI on RTs, P300 amplitude or latency. However, increased symptomatology, regardless of mTBI status, predicted slower target RTs, R2 = 0.125, F (1, 37) = 5.296, p = 0.027, β = 0.354. Our findings suggest that researchers and clinicians should consider NBS when assessing processing speed complications in mTBI.

Neurobehavioral symptomatology predicts response times during target detection but not the P300: a multi-method study of mild traumatic brain injury

ASD children are characterised by their refusal to change and difficulty in changing their responses to different social situations, which make it difficult for them to communicate with others, including their parents. We applied the comprehensive care technique Humanitude™ to mothers of children with ASD to support them from a multimodal communication perspective.
Changes in mother-child communication were analysed in terms of mother-child gaze and the time the mother and child spent playing together. The results indicate that after the Humanitude™ intervention, there were significant differences in eye contact, mothers looking at their children, and children looking at their mothers. There was also a significant decrease in time children spent playing alone. There was a high correlation between pre and post-Humanitude™ intervention in the amount of time both mothers and children spent looking at each other, which suggests that incorporating multimodal communication can affect communication between parents and children.

Behavioural changes in the interaction between child with autism spectrum disorder and mother through the Comprehensive Care Humanitude™ intervention

While communication is an essential part of life, it is not always easy and effortless. This is especially true when talking with someone in a noisy environment. Although communicating in noise is often the rule rather than the exception, very little research has investigated the behavioral processes individuals might use to minimize miscommunication when listening becomes challenged. Here we explored synergistic speech and movement processes that 22 pairs of young, normal hearing adults used to hear and be heard when (mis)communicating in noise. The results revealed intricate dynamics both with respect to acoustic optimization of the speech produced and heard, as well as how individuals modulate interpersonal distance and behavioral coordination patterns.

Behavioral dynamics of conversation and (mis)communication in noisy environments

We investigated how verbal communication with a robot differs from talking to a human in terms of brain activity by analysing an open-source fMRI dataset. We focused on modeling conversational dynamics rather than conversation as a whole, by analysing fine-grained events, in particular turn initiation. The results indicate that turn initiation in a conversation with a human involves higher activation in auditory and visual cortex than turn initiation with a robot. Conversely, listening to the robot showed higher engagement of auditory cortex than listening to a human. We suggest that verbal and non-verbal turn-taking cues provided by the human agent engage more cognitive processing for picking up the turn. On the other hand, listening to a robot agent requires more processing than listening to a human. Both findings suggest that the accurate simulation of appropriate turn-taking cues and behaviors will help robots to establish more natural conversation dynamics and that the use of brain imaging can provide valuable objective measurements for assessing user states in human-robot interaction.

Investigating Conversational Dynamics in Human-Robot Interaction with fMRI

It has been argued that patterns of cross-linguistic variation in the semantic categories labelled by individual words are a result of a trade-off between cognitive pressures (so as to be simple to learn and use) and communicative pressures (so as to be efficient in communication). However, the question of what exact mechanisms control this trade-off has been left largely unanswered. We argue that one factor could be the extent to which referential contexts at the level of local interactions are similar or different across users of a category system. To test this hypothesis we propose a hierarchical Bayesian model for communication in a multidimensional meaning space, in which agents actively consider spatial similarity relations during interaction. Our models predict that less variability in contexts across interactions induces categories with lower communicative cost, while more variable contexts across partners are more strongly associated with category systems with lower cognitive cost.

Degree of heterogeneity in the contexts of language users mediates the cognitive-communicative trade-off in semantic categorization

Category learning is a core competence for minimizing cognitive load and optimizing decision-making. An identical problem can be solved by employing a rule-based or a similarity-based strategy. This research examined whether the use of the two strategies was supported by common or distinct neural substrates. We conducted a category learning experiment with rule-plus-similarity stimuli using EEG-fNIRS fusion methodology. Participants learned two artificial categories using either a rule- or similarity-based strategy. The results showed a common visual-perceptual-analysis process and distinct decision-making processes between the uses of the two strategies. Larger P300 and N400 amplitudes and Wernicke's area activation indicated that hypotheses testing and verbal rule abstraction processes were critical for rule-based categorization. In contrast, increased frontopolar cortex activity indicated that integration of multiple dimensions was critical for similarity-based categorization. These results were consistent with COVIS theory, implying an explicit system in rule-based category learning whereas an implicit system in similarity-based learning.

Common and distinct neural bases for rule- and similarity-based category learning

When making category decisions, humans sample features following their dynamic informativeness. Attention optimization models successfully predict these categorization behaviors, but optimization is not the only solution. Alternatively, categorization can be viewed as a Reinforcement Learning (RL) task in which learners sample information based on its expected utility. However, RL models of information sampling have high computational load, even though human learners solve this problem on the millisecond timescale. Therefore, we propose ATHENA-RSS, a model that implements reward-based information search in a more computationally efficient way, via the rapid sequential storage of memories and recurrent retrieval. To test the model, we conducted an experiment where participants (N = 99) learned hierarchically structured categories by uncovering stimulus features. We then conducted a simulation study, where ATHENA-RSS successfully reproduced all search patterns exhibited by participants. We conclude that rapid sequential storage and recurrent memory retrieval were sufficient to achieve human-like information sampling in this task.

Dynamic Information Sampling via Rapid Sequential Storage and Recurrence

The ability to selectively attend to stimuli increases the efficiency of learning. However, learning traps can develop when attention prematurely narrows to a subset of the features that predict outcomes, resulting in suboptimal decisions. The current work investigated the potential for learning traps to be particularly damaging in dynamic environments, where the features that predict rewards and losses change during learning. Two experiments (N=316) found that when learners received choice-contingent feedback, they frequently fell into a learning trap, using a suboptimal categorisation rule. Critically, these learners were unlikely to detect a subsequent rule change nor learn the new optimal rule. This change blindness was not attenuated by priming participants to expect change. These results show that the pernicious effects of learning traps are amplified in dynamic environments.

Learning traps lead to change blindness in dynamic environments

Data visualizations are powerful tools for communicating quantitative information. While prior work has focused on how experts design informative graphs, little is known about the intuitions non-experts have about what makes a graph effective for communicating a specific message. In the current study, we asked participants (N=398) which of 8 graphs would be most useful for answering a particular question, where all graphs were generated from the same dataset but varied in how data were arranged. We tested the degree to which participants based their decisions on sensitivity to how easily other participants (N=542) would actually be able to answer that question with that graph. Our results suggest that while people were biased towards graphs that were minimally informative (i.e., contained the relevant variables), their decisions did not necessarily reflect sensitivity to more graded, but systematic variation in actual graph comprehension performance.

How do communicative goals guide which data visualizations people think are effective?

The risk–reward correlation refers to a tendency to infer the inverse proportionality between probability of an outcome and the outcome's magnitude and is considered to reflect the statistical structure of gambling environments. Existing studies have demonstrated this inverse proportionality using numerical probabilities. However, verbal probability phrases can also convey contextual information about uncertainty without numbers, and express contextual information that is not contained by numerical probabilities. Specifically, verbal probabilities have positive and negative directionalities that can attune the listener to the occurrence or non-occurrence of an outcome and consequently, the listener’s decision making. Therefore, this study aimed to examine whether the risk–reward correlation also hold in verbal probability phrases, by conducting two empirical studies in which the participants were asked to estimate the reward values and winning probability of gambles expressed by verbal probability phrases such as “certain” or “impossible.” The results indicate that risk–reward correlation also hold in verbal probability phrases, and that negative probability phrases were associated with the larger rewards than the positive probability phrases.

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Neurobehavioral symptomatology predicts response times during target detection but not the P300: a multi-method study of mild traumatic brain injury

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