In Preparation
Jaffe-Dax, Sagi, et al.The developmental emergence of memory-based inference in visual perception”. (In Preparation). Print.
Baek, Sori, Sagi Jaffe-Dax, and Lauren L. Emberson. “Chapter 8 - How an infant's active response to structured experience supports perceptual-cognitive development”. New Perspectives on Early Social-cognitive Development. Ed. Sabine Hunnius & Marlene Meyer. Elsevier, 2020. 167 - 186. Web. Publisher's VersionAbstract
Previous research on perceptual and cognitive development has predominantly focused on infants' passive response to experience. For example, if infants are exposed to acoustic patterns in the background while they are engaged in another activity, what are they able to learn? However, recent work in this area has revealed that even very young infants are also capable of active perceptual and cognitive responses to experience. Specifically, recent neuroimaging work showed that infants' perceptual systems predict upcoming sensory events and that learning to predict new events rapidly modulates the responses of their perceptual systems. In addition, there is new evidence that young infants have access to endogenous attention and their prediction and attention are rapidly and robustly modified through learning about patterns in the environment. In this chapter, we present a synthesis of the existing research on the impact of infants' active responses to experience and argue that this active engagement importantly supports infants' perceptual-cognitive development. To this end, we first define what a mechanism of active engagement is and examine how learning, selective attention, and prediction can be considered active mechanisms. Then, we argue that these active mechanisms become engaged in response to higher-order environmental structures, such as temporal, spatial, and relational patterns, and review both behavioral and neural evidence of infants' active responses to these structures or patterns. Finally, we discuss how this active engagement in infancy may give rise to the emergence of specialized perceptual-cognitive systems and highlight directions for future research.
Jaffe-Dax, Sagi, et al.A Computational Role for Top–Down Modulation from Frontal Cortex in Infancy”. Journal of Cognitive Neuroscience 32.3 (2020): , 32, 3, 508-514. Web. Publisher's VersionAbstract
Recent findings have shown that full-term infants engage in top–down sensory prediction, and these predictions are impaired as a result of premature birth. Here, we use an associative learning model to uncover the neuroanatomical origins and computational nature of this top–down signal. Infants were exposed to a probabilistic audiovisual association. We find that both groups (full term, preterm) have a comparable stimulus-related response in sensory and frontal lobes and track prediction error in their frontal lobes. However, preterm infants differ from their full-term peers in weaker tracking of prediction error in sensory regions. We infer that top–down signals from the frontal lobe to the sensory regions carry information about prediction error. Using computational learning models and comparing neuroimaging results from full-term and preterm infants, we have uncovered the computational content of top–down signals in young infants when they are engaged in a probabilistic associative learning.
Jaffe-Dax, Sagi, et al.Video-based motion-resilient reconstruction of 3D position for fNIRS/EEG head mounted probes”. Neurophotonics 73 (2020). Web. Publisher's Version
Jaffe-Dax, Sagi, and Inge-Marie Eigsti. “Perceptual inference is impaired in individuals with ASD and intact in individuals who have lost the autism diagnosis”. Scientific Reports (2020). Web. Publisher's Version
Jakoby, Hilla, et al.Auditory frequency discrimination is correlated with linguistic skills, but its training does not improve them or other pitch discrimination tasks.”. Journal of Experimental Psychology: General (2019). Web. Publisher's Version
Lieder, Itay, et al.Perceptual bias reveals slow-updating in autism and fast-forgetting in dyslexia”. Nature neuroscience 22.2 (2019): , 22, 2, 256-264. Web. Publisher's Version
Jaffe-Dax, Sagi, Luba Daikhin, and Merav Ahissar. “Dyslexia: A failure in attaining expert-level reading due to poor formation of auditory predictions”. Reading and Dyslexia. Springer, Cham, 2018. 165–181. Web. Publisher's Version
Zhang, Felicia, et al.Prediction in infants and adults: A pupillometry study”. Developmental science (2018): , e12780. Web. Publisher's Version
Jaffe-Dax, Sagi, Eva Kimel, and Merav Ahissar. “Shorter cortical adaptation in dyslexia is broadly distributed in the superior temporal lobe and includes the primary auditory cortex”. eLife 7 (2018): , 7, e30018. Web. Publisher's Version
Jaffe-Dax, Sagi, et al.A Computational Model of Dyslexics’ Perceptual Difficulties as Impaired Inference of Sound Statistics”. Computational Models of Brain and Behavior (2017): , 3. Web. Publisher's Version
Jaffe-Dax, Sagi, Or Frenkel, and Merav Ahissar. “Dyslexics’ faster decay of implicit memory for sounds and words is manifested in their shorter neural adaptation”. eLife 6 (2017): , 6, e20557. Web. Publisher's Version
Jaffe-Dax, Sagi, et al.Dyslexics' usage of visual priors is impaired”. Journal of vision 16.9 (2016): , 16, 9, 10–10. Web. Publisher's Version
Jaffe-Dax, Sagi, et al.A computational model of implicit memory captures dyslexics' perceptual deficits”. Journal of Neuroscience 35.35 (2015): , 35, 35, 12116–12126. Web. Publisher's Version
Śmigasiewicz, Kamila, et al.Left visual-field advantage in the dual-stream RSVP task and reading-direction: A study in three nations”. Neuropsychologia 48.10 (2010): , 48, 10, 2852–2860. Web. Publisher's Version