The man who feels two hearts: the different pathways of interoception

Recent advances in neuroscience have provided new insights into the understanding of heart–brain interaction and communication. Cardiac information to the brain relies on two pathways, terminating in the insular cortex (IC) and anterior cingulate cortex (ACC), along with the somatosensory cortex (S1-S2). Interoception relying on these neuroanatomical pathways has been shown to modulate social cognition. We report the case study of C.S., a patient with an external heart (an extracorporeal left-univentricular cardiac assist device, LVAD). The patient was assessed with neural/behavioral measures of cardiac interoception complemented by neuropsychological and social cognition measures. The patients performance on the interoception task (heartbeat detection) seemed to be guided by signals from the artificial LVAD, which provides a somatosensory beat rather than by his endogenous heart. Cortical activity (HEP, heartbeat-evoked potential) was found decreased in comparison with normal volunteers, particularly during interoceptive states. The patient accurately performed several cognitive tasks, except for interoception-related social cognition domains (empathy, theory of mind and decision making). This evidence suggests an imbalance in the patients cardiac interoceptive pathways that enhances sensation driven by the artificial pump over that from the cardiac vagal-IC/ACC pathway. A patient with two hearts, one endogenous and one artificial, presents a unique opportunity to explore models of interoception and heart–brain interaction.Fil: Couto, Juan Blas Marcos. Instituto de Neurología Cognitiva; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Salles, Alejo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sedeño, Lucas. Instituto de Neurología Cognitiva; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Peradejordi Lastras, Margarita Ana. Universidad Favaloro; ArgentinaFil: Barttfeld, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; ArgentinaFil: Canales Johnson, Andres. Universidad Diego Portales; ChileFil: Vidal Dos Santos, Hector Yamil. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; ArgentinaFil: Huepe, David. Universidad Diego Portales; ChileFil: Bekinschtein, Tristán Andrés. Instituto de Neurología Cognitiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; ArgentinaFil: Favaloro, Roberto. Universidad Favaloro; ArgentinaFil: Manes, Facundo Francisco. Instituto de Neurología Cognitiva; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; ArgentinaFil: Ibañez, Agustin Mariano. Instituto de Neurología Cognitiva; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms

Bias evaluation benchmarks and dataset and model documentation have emerged as central processes for assessing the biases and harms of artificial intelligence (AI) systems. However, these auditing processes have been criticized for their failure to integrate the knowledge of marginalized communities and consider the power dynamics between auditors and the communities. Consequently, modes of bias evaluation have been proposed that engage impacted communities in identifying and assessing the harms of AI systems (e.g., bias bounties). Even so, asking what marginalized communities want from such auditing processes has been neglected. In this paper, we ask queer communities for their positions on, and desires from, auditing processes. To this end, we organized a participatory workshop to critique and redesign bias bounties from queer perspectives. We found that when given space, the scope of feedback from workshop participants goes far beyond what bias bounties afford, with participants questioning the ownership, incentives, and efficacy of bounties. We conclude by advocating for community ownership of bounties and complementing bounties with participatory processes (e.g., co-creation).Comment: To appear at AIES 202

A propósito del símbolo.

Peer Reviewe

N° 87. — Sur les facteurs déterminant la force basique de dérivés azotés des hydrocarbures conjugués alternants

On énumère les différents facteurs susceptibles de déterminer la force basique d’une série de dérivés azotés des hydrocarbures conjugués alternants. On signale que dans la série des mono-aza-dérivés des acènes, cinq méthodes différentes de calcul de la contribution du système π à l’énergie de protonation s’accordent à montrer que ce facteur n’est pas le seul terme important dont dépend la force basique. On montre que la variation de l’énergie de solvatation au cours de la protonation est sans doute un terme d’importance analogue

Using Deep Learning to Detect Facial Markers of Complex Decision Making

In this paper, we report on an experiment with The Walking Dead (TWD), which is a narrative-driven adventure game where players have to survive in a post-apocalyptic world filled with zombies. We used OpenFace software to extract action unit (AU) intensities of facial expressions characteristic of decision-making processes and then we implemented a simple convolution neural network (CNN) to see which AUs are predictive of decision-making. More specifically, this study aims to identify the facial regions that are predictive of decision-making. Our results provide evidence that the pre-decision variations in action units 17 (chin raiser), 23 (lip tightener), and 25 (parting of lips) are predictive of decision-making processes. Furthermore, when combined, their predictive power increased up to .81 accuracy on the test set; we offer speculations about why it is that these particular three AUs were found to be connected to decision-making. Our results also suggest that machine learning methods in combination with video games may be used to accurately and automatically identify complex decision-making processes using AU intensity alone. Finally, our study offers a new method to test specific hypotheses about the relationships between higher-order cognitive processes and behavior, which relies on both narrative video games and easily accessible software, like OpenFace

Sur la relation entre déplacement chimique RMN et distribution des électrons π dans les aminopyridines

Une contribution à l’étude des relations entre déplacement chimique δ et charge q en électrons π est entreprise dans le cadre de recherches sur les hétérocycles azotés. Nous avons déterminé les valeurs de δ pour les aminopyridines en milieux neutre et acide dans des conditions d’effets intermoléculaires minimaux ou comparables. Les charges théoriques ont été calculées par la méthode du champ auto-cohérent (approximations de PARISER et PARR). Une relation linéaire simple entre δ et q est discutée