Chapter 7 begins with Kornblith’s attempt to resurrect a teleology of the mind or intellect. I countenance his semantic, desire and pragmatic arguments, maintaining that none of them shows truth or true belief to be an objective good. By contrast, Aristotle’s idea that the intellect is constitutively directed at truth does show this (in virtue of the Aristotelian functionalist schema: i.e. all functions are correlated with perfections or goods). And Aristotle’s idea is corroborated not only by ‘folk’ and theoretical psychology, but also by cognitive science. For the latter is wedded to the notion that the brain is a cognitive system, functionally directed at cognition (viz. true belief). I go on to address three critiques of this intellectual teleology – those put forward by William James, evolutionary biology and global scepticism respectively – and argue that none of them is cogent. Next, I unpack two alternative accounts of the relation between truth and goodness – those of Ayer and Davidson – and maintain that they, too, fall short. Last, I tackle intellectual goods beyond true belief – such as knowledge and understanding – asking whether they or their objects form discernible hierarchies.

Takes up another aspect of free will, the challenge of scientific determinism. I argue that Jewish tradition contains surprisingly many thinkers who either deny free will or (more commonly) greatly limit its scope, question its value, or embrace compatibilism (the thesis that free will and determinism are compatible). Some of what these thinkers say can be transferred to the challenge of determinism as it exists today.

As we think and act, the brain is constantly producing Big Data in the firing of its neurons and in the connections that are strengthened and weakened. This chapter discusses how we can study the brain and the Big Data that it creates. First, we discuss how clever behavioral tasks, looking at development and other species, and natural variation across people are our first tools for understanding the brain. Next, we delve into describing several popular brain imaging methods – direct recording, electroencephalography, magnetoencephalography, magnetic resonance imaging, and a few others. We discuss how to interpret the Big Data shown by brain maps, and some Big Data methods like multiple comparisons correction to consider when viewing this data. Finally, we end the chapter discussing the ethical question of whether such neuroimaging allows mindreading.

Music & spoken language share many features by combining smaller units (e.g., words, notes) into larger structures (e.g., sentences, musical phrases). This hierarchical organization of sound is culturally contingent & communicates meaning to listeners. Comparisons of music & language from a cognitive neuroscience perspective provide several insights into commonalities & differences between these systems, how they are represented in the brain. The cognitive neuroscience research of music & language, emphasizes the pitfalls & promises identified, including (1) the apparent acoustic & structural similarities between these systems, (2) how both systems convey meaning to listeners, (3) how these systems are learned over the course of development, & (4) the ways in which experience in one domain influences processing in the other domain. We conclude that searching for similarities in how these complex systems are structured (e.g., comparing musical syntax to linguistic syntax) represents a pitfall that researchers should approach with caution. A promising approach in this area of research is to examine how general cognitive mechanisms underlie the learning & maintenance of both systems

Inspired by interesting research in the field of neuroscience, Dorothea Haspelmath-Finatti argues that singing in a liturgical context is not only an essential part of the act of praising and praying, but it is also healthy.

What makes music an enduring art that has withstood the test of time across so many cultural contexts? Here we review the literature on emotion and reward as it relates to music, grounding our review on multiple methodological traditions in neuroscience, as well as newer work that combines these tools with music technology and sound design. Key to these disparate lines of research is the idea that the reward system is functionally and structurally connected to the auditory system, giving rise to individual differences in the sensitivity and felt emotion for music. We conclude with implications of this research for the design and implementation of music-based interventions for improving cognitive and brain health, especially for those with neurodegenerative diseases.

This chapter presents a comprehensive workflow for applying network machine learning to functional MRI connectomes. We demonstrate data preprocessing, edge weight transformations, and spectral embedding techniques to analyze multiple brain networks simultaneously. Using multiple adjacency spectral embedding (MASE) and unsupervised clustering, we identify functionally similar brain regions across subjects. Results are visualized through abstract representations and brain-space projections, and compared with established brain parcellations. Our findings reveal that MASE-derived communities often align with known functional and spatial organization of the brain, particularly in occipital and parietal areas, while also identifying regions where functional similarity doesn’t imply spatial proximity. We illustrate how network machine learning can uncover meaningful patterns in complex neuroimaging data, emphasizing the importance of combining algorithmic approaches with domain expertise to motivate the remainder of the book.

James’s modernism is based directly on the psychology he founded, and specifically on his recognition that the self is malleable (or “plastic”), aggregate, distributed, and capable of mental reform. Yet James’s outspoken critique of US imperialism and the lynching of African Americans reflected his understanding of the dangerous potential of conversion – namely, that revolutions in belief carry a measure of uncertainty and risk, not just to individual believers but to the very fabric of democratic thought. Jamesean conversion therefore dramatizes the processes by which consent is staged from within and from without. The self enacts the drama in the form of an internal dialogue in which one imagines one’s “self” inhabiting a particular temporo-spatial location, as if fulfilling the role of a protagonist in a work of fiction. Against that background, Henry James’s What Maisie Knew and Harold Frederic’s The Damnation of Theron Ware dramatize the processes through which individuals become plastically transformed under the manipulations of powerful “pattern-setters” of public opinion. By fracturing and fragmenting imperial forms of selfhood, these psychological Bildungsromane inaugurate a reform modernism that registers dissent from the imperial sway of groups, demonstrating the strenuous effort required by individuals to transform oppressive systems from within.

This chapter invites readers to consider how an engagement with hip-hop music and culture can contribute to a better understanding of mental health, psychiatry, psychology, public health, and neuroscience. It provides an introduction to hip-hop therapy, highlighting the use of rap by psychologists and counsellors to promote mental well-being. The chapter goes on to examine the work that the Hip-Hop Psych initiative has undertaken in advancing the role of hip-hop in primary care. With hip-hop’s pre-eminence as a global musical force, greater attention to how mental health is represented in hip-hop can provide healthcare professionals with tools to aid discussions with patients about potential trends related to hip-hop icons, such as contagion effects of suicide, self-harm, and self-medication. Hip-hop offers a platform for artists and those who embrace the culture to address their emotional experiences through rap. By exploring lyrical content, the chapter uncovers how performers express their mental health challenges and fashion resilience within challenging circumstances. It argues that attention to this material could also help identify language disturbances associated with mental health conditions, and indicates the potential gains from the use of technology and neuroscientific research to support hip-hop music interventions.